IEEE Transactions on Neural Networks and Learning Systems Papers Published by Researchers in Japan

This webpage may contain errors. Please do NOT trust the following list, although the maintainer has tried his best to correct the mistakes. If you find an error, please contact the maintainer via email at “contact [at] ishikawa.cc”.

Highly contributed researchers

In recent 10 years: Masaki Kobayashi (11)

Akira Hirose (6) / Shinichi Nakajima (5) / Tatsuya Akutsu (4) / Noriyasu Homma (3) / Tohru Nitta (3)

Since 1990: Shun-ichi Amari (18)

Masaki Kobayashi (14) / Akira Hirose (11)

Statistics

2023

A Deep Convolutional Gated Recurrent Unit for CT Image Reconstruction

Authors: Masaki Ikuta and Jun Zhang

Fast-Converging Simulated Annealing for Ising Models Based on Integral Stochastic Computing

Authors: Naoya Onizawa, Kota Katsuki, Duckgyu Shin, Warren J. Gross, Takahiro Hanyu

A Survey of Hardware Self-Organizing Maps

Authors: Slavisa Jovanovic and Hiroomi Hikawa

ϵ-Approximation of Adaptive Leaning Rate Optimization Algorithms for Constrained Nonconvex Stochastic Optimization

Author: Hideaki Iiduka

Langevin Cooling for Unsupervised Domain Translation

Authors: Vignesh Srinivasan, Klaus-Robert Mller, Wojciech Samek, Shinichi Nakajima

Feature Selection in the Data Stream Based on Incremental Markov Boundary Learning

Authors: Xingyu Wu, Bingbing Jiang, Xiangyu Wang, Taiyu Ban, Huanhuan Chen

Comments on "Convergence Analysis of Adaptive Exponential Functional Link Network"

Authors: Ivo Bukovsky, Gejza Dohnal, Noriyasu Homma

Sparse Bayesian Learning With Weakly Informative Hyperprior and Extended Predictive Information Criterion

Authors: Kazuaki Murayama and Shuichi Kawano

Gaussian Process Regression With Interpretable Sample-Wise Feature Weights

Authors: Yuya Yoshikawa and Tomoharu Iwata

Letter on Convergence of In-Parameter-Linear Nonlinear Neural Architectures With Gradient Learnings

Authors: Ivo Bukovsky, Gejza Dohnal, Peter Mark Benes, Kei Ichiji, Noriyasu Homma

A Survey of Sim-to-Real Transfer Techniques Applied to Reinforcement Learning for Bioinspired Robots

Authors: Wei Zhu, Xian Guo, Dai Owaki, Kyo Kutsuzawa, Mitsuhiro Hayashibe

Neuromorphic System Using Memcapacitors and Autonomous Local Learning

Authors: Mutsumi Kimura, Yuma Ishisaki, Yuta Miyabe, Homare Yoshida, Isato Ogawa, Tomoharu Yokoyama, Ken-Ichi Haga, Eisuke Tokumitsu, Yasuhiko Nakashima

Nonlinear Causal Discovery for High-Dimensional Deterministic Data

Authors: Yan Zeng, Zhifeng Hao, Ruichu Cai, Feng Xie, Libo Huang, Shohei Shimizu

Fully Complex-Valued Dendritic Neuron Model

Authors: Shangce Gao, MengChu Zhou, Ziqian Wang, Daiki Sugiyama, Jiujun Cheng, Jiahai Wang, Yuki Todo

On the Compressive Power of Boolean Threshold Autoencoders

Authors: Avraham A. Melkman, Sini Guo, Wai-Ki Ching, Pengyu Liu, Tatsuya Akutsu

A Supervised Learning Algorithm for Multilayer Spiking Neural Networks Based on Temporal Coding Toward Energy-Efficient VLSI Processor Design

Authors: Yusuke Sakemi, Kai Morino, Takashi Morie, Kazuyuki Aihara

2022

Delay-Dependent Switching Approaches for Stability Analysis of Two Additive Time-Varying Delay Neural Networks

Authors: Xiaoyu Zhang, Degang Wang, Kaoru Ota, Mianxiong Dong, Hongxing Li

Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning Framework for Self-Supervised Hyperspectral Unmixing

Authors: Danfeng Hong, Lianru Gao, Jing Yao, Naoto Yokoya, Jocelyn Chanussot, Uta Heiden, Bing Zhang

Restricted Minimum Error Entropy Criterion for Robust Classification

Authors: Yuanhao Li, Badong Chen, Natsue Yoshimura, Yasuharu Koike

Adaptive Neural Network Control of a Flexible Spacecraft Subject to Input Nonlinearity and Asymmetric Output Constraint

Authors: Yu Liu, Xiongbin Chen, Yilin Wu, He Cai, Hiroshi Yokoi

On the Distribution of Successor States in Boolean Threshold Networks

Authors: Sini Guo, Pengyu Liu, Wai-Ki Ching, Tatsuya Akutsu

Neural Schrdinger Equation: Physical Law as Deep Neural Network

Authors: Mitsumasa Nakajima, Kenji Tanaka, Toshikazu Hashimoto

Guest Editorial Special Issue on New Frontiers in Extremely Efficient Reservoir Computing

Authors: Gouhei Tanaka, Claudio Gallicchio, Alessio Micheli, Juan-Pablo Ortega, Akira Hirose

Robust Stochastic Gradient Descent With Student-t Distribution Based First-Order Momentum

Authors: Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Kenji Sugimoto

Manifold Modeling in Embedded Space: An Interpretable Alternative to Deep Image Prior

Authors: Tatsuya Yokota, Hidekata Hontani, Qibin Zhao, Andrzej Cichocki

Noise-Robust Projection Rule for Rotor and Matrix-Valued Hopfield Neural Networks

Author: Masaki Kobayashi

2021

Accuracy Versus Simplification in an Approximate Logic Neural Model

Authors: Junkai Ji, Yajiao Tang, Lijia Ma, Jianqiang Li, Qiuzhen Lin, Zheng Tang, Yuki Todo

Long-Tailed Characteristic of Spiking Pattern Alternation Induced by Log-Normal Excitatory Synaptic Distribution

Authors: Sou Nobukawa, Haruhiko Nishimura, Nobuhiko Wagatsuma, Satoshi Ando, Teruya Yamanishi

Policy Iteration Approach to the Infinite Horizon Average Optimal Control of Probabilistic Boolean Networks

Authors: Yuhu Wu, Yuqian Guo, Mitsuru Toyoda

Two-Level Complex-Valued Hopfield Neural Networks

Author: Masaki Kobayashi

Learning Convolutional Sparse Coding on Complex Domain for Interferometric Phase Restoration

Authors: Jian Kang, Danfeng Hong, Jialin Liu, Gerald Baier, Naoto Yokoya, Begm Demir

Quaternion-Valued Twin-Multistate Hopfield Neural Networks With Dual Connections

Author: Masaki Kobayashi

Quaternion Projection Rule for Rotor Hopfield Neural Networks

Author: Masaki Kobayashi

2020

A Novel Separating Hyperplane Classification Framework to Unify Nearest-Class-Model Methods for High-Dimensional Data

Authors: Rui Zhu, Ziyu Wang, Naoya Sogi, Kazuhiro Fukui, Jing-Hao Xue

Optimizing for Measure of Performance in Max-Margin Parsing

Authors: Alexander Bauer, Shinichi Nakajima, Nico Grnitz, Klaus-Robert Mller

On Optimal Time-Varying Feedback Controllability for Probabilistic Boolean Control Networks

Authors: Mitsuru Toyoda and Yuhu Wu

Performance Evaluation of Probabilistic Methods Based on Bootstrap and Quantile Regression to Quantify PV Power Point Forecast Uncertainty

Authors: Yuxin Wen, Donna AlHakeem, Paras Mandal, Shantanu Chakraborty, Yuan-Kang Wu, Tomonobu Senjyu, Sumit Paudyal, Tzu-Liang Tseng

Noise Robust Projection Rule for Hyperbolic Hopfield Neural Networks

Author: Masaki Kobayashi

Spatially Arranged Sparse Recurrent Neural Networks for Energy Efficient Associative Memory

Authors: Gouhei Tanaka, Ryosho Nakane, Tomoya Takeuchi, Toshiyuki Yamane, Daiju Nakano, Yasunao Katayama, Akira Hirose

2019

O(2)-Valued Hopfield Neural Networks

Author: Masaki Kobayashi

Identification of the Structure of a Probabilistic Boolean Network From Samples Including Frequencies of Outcomes

Authors: Tatsuya Akutsu and Avraham A. Melkman

Asynchronous Multiplex Communication Channels in 2-D Neural Network With Fluctuating Characteristics

Authors: Shinichi Tamura, Yoshi Nishitani, Chie Hosokawa, Yuko Mizuno-Matsumoto

Category-Based Deep CCA for Fine-Grained Venue Discovery From Multimodal Data

Authors: Yi Yu, Suhua Tang, Kiyoharu Aizawa, Akiko Aizawa

Dendritic Neuron Model With Effective Learning Algorithms for Classification, Approximation, and Prediction

Authors: Shangce Gao, Mengchu Zhou, Yirui Wang, Jiujun Cheng, Hanaki Yachi, Jiahai Wang

Editorial: Booming of Neural Networks and Learning Systems

Authors: Akira Hirose, Alessio Micheli, Artur S. d'Avila Garcez, Choon Ki Ahn, Gang Pan, Hamid Reza Karimi, Jianbing Shen, Jos de Jess Rubio, Lei Zhang, Lingjia Liu, Lorenzo Livi, Nian Zhang, Nishchal K. Verma, Pedro Antonio Gutirrez, Qi Tian, Qinglai Wei, Seiichi Ozawa, Stuart H. Rubin, Wei-Neng Chen, Xi Li, Xiaofeng Liao, Youmin Zhang, Zhen Ni, Haibo He

2018

A Unifying Objective Function of Independent Component Analysis for Ordering Sources by Non-Gaussianity

Authors: Yoshitatsu Matsuda and Kazunori Yamaguchi

Theoretical Study of Oscillator Neurons in Recurrent Neural Networks

Authors: Lei Zhang, Zhang Yi, Shun-ichi Amari

Early Classification of Time Series by Simultaneously Optimizing the Accuracy and Earliness

Authors: Usue Mori, Alexander Mendiburu, Sanjoy Dasgupta, Jos Antonio Lozano

Support Vector Data Descriptions and k-Means Clustering: One Class?

Authors: Nico Grnitz, Luiz Alberto Lima, Klaus-Robert Mller, Marius Kloft, Shinichi Nakajima

Transductive Regression for Data With Latent Dependence Structure

Authors: Nico Grnitz, Luiz Alberto Lima, Luiz Eduardo Varella, Klaus-Robert Mller, Shinichi Nakajima

Singularities of Three-Layered Complex-Valued Neural Networks With Split Activation Function

Author: Masaki Kobayashi

Hyperbolic Gradient Operator and Hyperbolic Back-Propagation Learning Algorithms

Authors: Tohru Nitta and Yasuaki Kuroe

Multicolumn RBF Network

Authors: Ammar O. Hoori and Yuichi Motai

Decomposition of Rotor Hopfield Neural Networks Using Complex Numbers

Author: Masaki Kobayashi

Quantum-Inspired Multidirectional Associative Memory With a Self-Convergent Iterative Learning

Authors: Naoki Masuyama, Chu Kiong Loo, Manjeevan Seera, Naoyuki Kubota

Identifying a Probabilistic Boolean Threshold Network From Samples

Authors: Avraham A. Melkman, Xiaoqing Cheng, Wai-Ki Ching, Tatsuya Akutsu

Stability of Rotor Hopfield Neural Networks With Synchronous Mode

Author: Masaki Kobayashi

2017

Efficient Exact Inference With Loss Augmented Objective in Structured Learning

Authors: Alexander Bauer, Shinichi Nakajima, Klaus-Robert Mller

Resolution of Singularities Introduced by Hierarchical Structure in Deep Neural Networks

Author: Tohru Nitta

An Approach to Stable Gradient-Descent Adaptation of Higher Order Neural Units

Authors: Ivo Bukovsky and Noriyasu Homma

Extending the Peak Bandwidth of Parameters for Softmax Selection in Reinforcement Learning

Author: Kazunori Iwata

Design of Probabilistic Boolean Networks Based on Network Structure and Steady-State Probabilities

Authors: Koichi Kobayashi and Kunihiko Hiraishi

Spectrum-Diverse Neuroevolution With Unified Neural Models

Authors: Danilo Vasconcellos Vargas and Junichi Murata

Symmetric Complex-Valued Hopfield Neural Networks

Author: Masaki Kobayashi

Learning to Perceive the World as Probabilistic or Deterministic via Interaction With Others: A Neuro-Robotics Experiment

Authors: Shingo Murata, Yuichi Yamashita, Hiroaki Arie, Tetsuya Ogata, Shigeki Sugano, Jun Tani

Nonparametric Density Estimation Based on Self-Organizing Incremental Neural Network for Large Noisy Data

Authors: Yoshihiro Nakamura and Osamu Hasegawa

2016

Improving on Deterministic Approximate Bayesian Inferences for Mixture Distributions

Author: Yohei Nakada

Classifying Stress From Heart Rate Variability Using Salivary Biomarkers as Reference

Authors: Wei Shiung Liew, Manjeevan Seera, Chu Kiong Loo, Einly Lim, Naoyuki Kubota

A Nearest Neighbor Classifier Employing Critical Boundary Vectors for Efficient On-Chip Template Reduction

Authors: Wenjun Xia, Yoshio Mita, Tadashi Shibata

An Asynchronous Recurrent Network of Cellular Automaton-Based Neurons and Its Reproduction of Spiking Neural Network Activities

Authors: Takashi Matsubara and Hiroyuki Torikai

Kernel-Based Least Squares Temporal Difference With Gradient Correction

Authors: Tianheng Song, Dazi Li, Liulin Cao, Kotaro Hirasawa

Bayesian Robust Tensor Factorization for Incomplete Multiway Data

Authors: Qibin Zhao, Guoxu Zhou, Liqing Zhang, Andrzej Cichocki, Shun-ichi Amari

2015

A Recurrent Probabilistic Neural Network with Dimensionality Reduction Based on Time-series Discriminant Component Analysis

Authors: Hideaki Hayashi, Taro Shibanoki, Keisuke Shima, Yuichi Kurita, Toshio Tsuji

Supervised Learning Using Spike-Timing-Dependent Plasticity of Memristive Synapses

Authors: Yu Nishitani, Yukihiro Kaneko, Michihito Ueda

Performance Bounds of Quaternion Estimators

Authors: Yili Xia, Cyrus Jahanchahi, Tohru Nitta, Danilo P. Mandic

Improved Learning Performance of Hardware Self-Organizing Map Using a Novel Neighborhood Function

Authors: Hiroomi Hikawa and Yutaka Maeda

Variational Bayesian Inference Algorithms for Infinite Relational Model of Network Data

Authors: Takuya Konishi, Takatomi Kubo, Kazuho Watanabe, Kazushi Ikeda

Variational Inference With ARD Prior for NIRS Diffuse Optical Tomography

Authors: Atsushi Miyamoto, Kazuho Watanabe, Kazushi Ikeda, Masa-aki Sato

Robust Sensorimotor Representation to Physical Interaction Changes in Humanoid Motion Learning

Authors: Toshihiko Shimizu, Ryo Saegusa, Shuhei Ikemoto, Hiroshi Ishiguro, Giorgio Metta

Evolutionary Fuzzy ARTMAP Neural Networks for Classification of Semiconductor Defects

Authors: Shing Chiang Tan, Junzo Watada, Zuwairie Ibrahim, Marzuki Khalid

Kernel Association for Classification and Prediction: A Survey

Author: Yuichi Motai

2014

Mahalanobis Distance on Extended Grassmann Manifolds for Variational Pattern Analysis

Authors: Yoshikazu Washizawa and Seiji Hotta

Fading Channel Prediction Based on Combination of Complex-Valued Neural Networks and Chirp Z-Transform

Authors: Tianben Ding and Akira Hirose

Guest Editorial Special Issue on Complex- and Hypercomplex-Valued Neural Networks

Authors: Akira Hirose, Igor N. Aizenberg, Danilo P. Mandic

Ultrawideband Direction-of-Arrival Estimation Using Complex-Valued Spatiotemporal Neural Networks

Authors: Kotaro Terabayashi, Ryo Natsuaki, Akira Hirose

Projection Rule for Rotor Hopfield Neural Networks

Authors: Michimasa Kitahara and Masaki Kobayashi

Selecting Graph Cut Solutions via Global Graph Similarity

Authors: Canh Hao Nguyen, Nicolas Wicker, Hiroshi Mamitsuka

A Load-Balancing Self-Organizing Incremental Neural Network

Authors: Hongwei Zhang, Xiong Xiao, Osamu Hasegawa

A Stochastic Mean Field Model for an Excitatory and Inhibitory Synaptic Drive Cortical Neuronal Network

Authors: Qing Hui, Wassim M. Haddad, James M. Bailey, Tomohisa Hayakawa

Online Bayesian Learning With Natural Sequential Prior Distribution

Authors: Yohei Nakada, Makio Wakahara, Takashi Matsumoto

Developmental Perception of the Self and Action

Authors: Ryo Saegusa, Giorgio Metta, Giulio Sandini, Lorenzo Natale

2013

Multiple Graph Label Propagation by Sparse Integration

Authors: Masayuki Karasuyama and Hiroshi Mamitsuka

Pseudo-Orthogonalization of Memory Patterns for Associative Memory

Authors: Makito Oku, Takaki Makino, Kazuyuki Aihara

A Quadratically Constrained MAP Classifier Using the Mixture of Gaussians Models as a Weight Function

Authors: Tatsuya Yokota and Yukihiko Yamashita

Asynchronous Cellular Automaton-Based Neuron: Theoretical Analysis and On-FPGA Learning

Authors: Takashi Matsubara and Hiroyuki Torikai

Noise-Shaping Gradient Descent-Based Online Adaptation Algorithms for Digital Calibration of Analog Circuits

Authors: Shantanu Chakrabartty, Ravi Krishna Shaga, Kenji Aono

Hyperbolic Hopfield Neural Networks

Author: Masaki Kobayashi

2012

Adaptive Subset Kernel Principal Component Analysis for Time-Varying Patterns

Author: Yoshikazu Washizawa

Boosted Network Classifiers for Local Feature Selection

Authors: Timothy Hancock and Hiroshi Mamitsuka

Latent Feature Kernels for Link Prediction on Sparse Graphs

Authors: Canh Hao Nguyen and Hiroshi Mamitsuka

Generalization Characteristics of Complex-Valued Feedforward Neural Networks in Relation to Signal Coherence

Authors: Akira Hirose and Shotaro Yoshida

Neural Networks and Learning Systems Come Together

Authors: Bart Baesens, Pantelis Bouboulis, Sergio Cruces, Carlotta Domeniconi, Shiro Ikeda, Xuelong Li, Patricia Melin, Vadrevu Sree Hari Rao, Bjrn W. Schuller, Yi Shen, Huajin Tang, Cong Wang, Jian Yang, Derong Zhao, Derong Liu

2011

Neuro-Fuzzy Quantification of Personal Perceptions of Facial Images Based on a Limited Data Set

Authors: Luis A. Diago, Tetsuko Kitaoka, Ichiro Hagiwara, Toshiki Kambayashi

Nonlinear Regularization Path for Quadratic Loss Support Vector Machines

Authors: Masayuki Karasuyama and Ichiro Takeuchi

Discriminative Graph Embedding for Label Propagation

Authors: Canh Hao Nguyen and Hiroshi Mamitsuka

Wide-Dynamic-Range APS-Based Silicon Retina With Brightness Constancy

Authors: Kazuhiro Shimonomura, Seiji Kameda, Atsushi Iwata, Tetsuya Yagi

A Novel Rotate-and-Fire Digital Spiking Neuron and its Neuron-Like Bifurcations and Responses

Authors: Tetsuya Hishiki and Hiroyuki Torikai

Editorial: One Year as EiC, and Editorial-Board Changes at TNN

Authors: Marco Baglietto, Lubica Benuskov, Ivo Bukovsky, Tianping Chen, Tom Heskes, Kazushi Ikeda, Fakhri Karray, Rhee Man Kil, Robert Legenstein, Jinhu Lu, Yunqian Ma, Malik Magdon-Ismail, Michael G. Paulin, Robi Polikar, Danil V. Prokhorov, Marco A. Wiering, Vicente Zarzoso

Neural Network Adaptive Control for a Class of Nonlinear Uncertain Dynamical Systems With Asymptotic Stability Guarantees

Authors: Tomohisa Hayakawa, Wassim M. Haddad, Naira Hovakimyan

An analysis of globally connected active rotators with excitatory and inhibitory connections having different time constants using the nonlinear Fokker-Planck equations

Authors: Takashi Kanamaru and Masatoshi Sekine

Analog recurrent decision circuit with high signal-voltage symmetry and delay-time equality to improve continuous-time convergence performance

Authors: Akira Hirose and Kazuhiko Nakazawa

Multi-illuminant color reproduction for electronic cameras via CANFIS neuro-fuzzy modular network device characterization

Authors: Eiji Mizutani and Kenichi Nishio

Statistical multimodal integration for audio-visual speech processing

Author: Satoshi Nakamura

Stability of steepest descent with momentum for quadratic functions

Authors: Manabu Torii and Martin T. Hagan

VEP optimal channel selection using genetic algorithm for neural network classification of alcoholics

Authors: Ramaswamy Palaniappan, Paramesran Raveendran, Sigeru Omatu

Basic dynamics from a pulse-coupled network of autonomous integrate-and-fire chaotic circuits

Authors: Hidehiro Nakano and Toshimichi Saito

Subspace information criterion for nonquadratic regularizers-Model selection for sparse regressors

Authors: Koji Tsuda, Masashi Sugiyama, Klaus-Robert Mller

Errata to "learning efficiency of redundant neural networks in bayesian estimation"

Author: Sumio Watanabe

2001

Training of a feedforward multiple-valued neural network by error backpropagation with a multilevel threshold function

Author: Vijayan K. Asari

H∞-learning of layered neural networks

Authors: Kiyoshi Nishiyama and Kiyohiko Suzuki

Learning efficiency of redundant neural networks in Bayesian estimation

Author: Sumio Watanabe

A neural network with asymmetric basis functions for feature extraction of ECG P waves

Authors: Eduardo de Azevedo Botter, Cairo L. Nascimento Jr., Takashi Yoneyama

Cooperative updating in the Hopfield model

Authors: Tomo Munehisa, Masaki Kobayashi, Haruaki Yamazaki

Theoretical limitations of a Hopfield network for crossbar switching

Author: Satoshi Matsuda

Efficient source adaptivity in independent component analysis

Authors: Nikos Vlassis and Yoichi Motomura

Errata to "fuzzy-neural network with general parameter adaptation for modeling of nonlinear time-series"

Authors: Daouren Akhmetov, Yasuhiko Dote, Seppo J. Ovaska

An introduction to kernel-based learning algorithms

Authors: Klaus-Robert Mller, Sebastian Mika, Gunnar Rtsch, Koji Tsuda, Bernhard Schlkopf

Fuzzy neural network with general parameter adaptation for modeling of nonlinear time-series

Authors: Daouren Akhmetov, Yasuhiko Dote, Seppo J. Ovaska

Stability of asymmetric Hopfield networks

Authors: Tianping Chen and Shun-ichi Amari

Heuristic pattern correction scheme using adaptively trained generalized regression neural networks

Authors: Tetsuya Hoya and Jonathon A. Chambers

2000

Fast combinatorial optimization with parallel digital computers

Authors: Hideki Kakeya and Yoichi Okabe

Neural discriminant analysis

Authors: Masaaki Tsujitani and Takashi Koshimizu

Extension of dynamic link matching by introducing local linear maps

Authors: Toru Aonishi and Koji Kurata

Neuro-fuzzy rule generation: survey in soft computing framework

Authors: Sushmita Mitra and Yoichi Hayashi

Extracting rules from trained neural networks

Author: Hiroshi Tsukimoto

Statistical active learning in multilayer perceptrons

Author: Kenji Fukumizu

Design and analysis of a nonequilibrium cross-coupled network with a detectable similarity measure

Authors: Masayoshi Shimono and Takeshi Yamakawa

A new supervised learning algorithm for multilayered and interconnected neural networks

Authors: Yoshihiro Yamamoto and Peter N. Nikiforuk

1999

Inverting feedforward neural networks using linear and nonlinear programming

Authors: Bao-Liang Lu, Hajime Kita, Yoshikazu Nishikawa

Incremental learning methods with retrieving of interfered patterns

Authors: Koichiro Yamauchi, Nobuhiko Yamaguchi, Naohiro Ishii

Analog integrated circuits for the Lotka-Volterra competitive neural networks

Authors: Tetsuya Asai, Masashiro Ohtani, Hiroo Yonezu

Blind separation of uniformly distributed signals: a general approach

Authors: Jayanta Basak and Shun-ichi Amari

Task decomposition and module combination based on class relations: a modular neural network for pattern classification

Authors: Bao-Liang Lu and Masami Ito

Microcode optimization with neural networks

Authors: S. Bharitkar, Kazuhiro Tsuchiya, Yoshiyasu Takefuji

Frequency-based multilayer neural network with on-chip learning and enhanced neuron characteristics

Author: Hiroomi Hikawa

Dynamics of selective recall in an associative memory model with one-to-many associations

Authors: Masaki Kawamura, Masato Okada, Yuzo Hirai

Analog implementation of pulse-coupled neural networks

Authors: Yasuhiro Ota and Bogdan M. Wilamowski

Image interpolation for progressive transmission by using radial basis function networks

Authors: T. Sigitani, Youji Iiguni, Hajime Maeda

Selective retrieval of memory and concept sequences through neuro-windows

Authors: Hideki Kakeya and Yoichi Okabe

1998

A gradual neural-network algorithm for jointly time-slot/code assignment problems in packet radio networks

Authors: Nobuo Funabiki and Junji Kitamichi

A common neural-network model for unsupervised exploratory data analysis and independent component analysis

Authors: Mark A. Girolami, Andrzej Cichocki, Shun-ichi Amari

"Optimal" Hopfield network for combinatorial optimization with linear cost function

Author: Satoshi Matsuda

A tight bound on concept learning

Authors: Haruhisa Takahashi and Hanzhong Gu

Reinforcement learning to train a cooperative network with both discrete and continuous output neurons

Authors: Satoshi Yamada, Michio Nakashima, Satoru Shiono

Multiple descent cost competition: restorable self-organization and multimedia information processing

Author: Yasuo Matsuyama

1997

A gradual neural-network approach for frequency assignment in satellite communication systems

Authors: Nobuo Funabiki and Seishi Nishikawa

Mine detection using scattering parameters

Authors: Gregory L. Plett, Takeshi Doi, Don J. Torrieri

Asymptotic statistical theory of overtraining and cross-validation

Authors: Shun-ichi Amari, Noboru Murata, Klaus-Robert Mller, Michael Finke, Howard Hua Yang

Learning rules for neuro-controller via simultaneous perturbation

Authors: Yutaka Maeda and Rui J. P. de Figueiredo

Rotation-invariant neural pattern recognition system estimating a rotation angle

Authors: Minoru Fukumi, Sigeru Omatu, Yoshikazu Nishikawa

A binary Hopfield neural-network approach for satellite broadcast scheduling problems

Authors: Nobuo Funabiki and Seishi Nishikawa

Capabilities of a four-layered feedforward neural network: four layers versus three

Authors: Shinichi Tamura and Masahiko Tateishi

1996

Towards more practical average bounds on supervised learning

Authors: Hanzhong Gu and Haruhisa Takahashi

Behavior control of coherent-type neural networks by carrier-frequency modulation

Authors: Akira Hirose and Rolf Eckmiller

A symmetric linear neural network that learns principal components and their variances

Authors: Ferdinand Peper and Hideki Noda

Auto-associative memory with two-stage dynamics of nonmonotonic neurons

Authors: Hiro-Fumi Yanai and Shun-ichi Amari

Progressive learning and its application to robot impedance learning

Authors: Boo-Ho Yang and Haruhiko Asada

Harmonic competition: a self-organizing multiple criteria optimization

Author: Yasuo Matsuyama

An approach to stability criteria of neural-network control systems

Author: Kazuo Tanaka

Evolutionary learning of nearest-neighbor MLP

Authors: Qiangfu Zhao and Tatsuo Higuchi

A MOS circuit for a nonmonotonic neural network with excellent retrieval capabilities

Authors: Tetsuya Asai, Hideyo Yokotsuka, Tomoki Fukai

1995

Self-organizing QRS-wave recognition in ECG using neural networks

Author: Yukinori Suzuki

Two-dimensional spatio-temporal dynamics of analog image processing neural networks

Authors: Haruo Kobayashi, Takashi Matsumoto, Jun Sanekata

Active control of vibration using a neural network

Authors: Scott D. Snyder and Nobuo Tanaka

Temperature regulation with neural networks and alternative control schemes

Authors: Marzuki Khalid, Sigeru Omatu, Rubiyah Yusof

K-winners-take-all circuit with O(N) complexity

Authors: Kiichi Urahama and Takeshi Nagao

Probabilistic design of layered neural networks based on their unified framework

Authors: Sumio Watanabe and Kenji Fukumizu

High speed paper currency recognition by neural networks

Authors: Fumiaki Takeda and Sigeru Omatu

1994

Network information criterion-determining the number of hidden units for an artificial neural network model

Authors: Noboru Murata, Shuji Yoshizawa, Shun-ichi Amari

Hierarchical intelligent control for robotic motion

Authors: Takanori Shibata and Toshio Fukuda

1993

Application of Hopfield network to saccades

Author: Teruyoshi Washizawa

Trial-and-error correlation learning

Author: Osamu Fujita

The capacity of associative memories with malfunctioning neurons

Authors: Mahdad Nouri Shirazi and Sadao Maekawa

A single 1.5-V digital chip for a 106 synapse neural network

Authors: Takao Watanabe, Katsutaka Kimura, Masakazu Aoki, Takeshi Sakata, Kiyoo Ito

A fuzzy inference engine in nonlinear analog mode and its application to a fuzzy logic control

Author: Takeshi Yamakawa

Reduction of required precision bits for back-propagation applied to pattern recognition

Authors: Shigeo Sakaue, Toshiyuki Kohda, Hiroshi Yamamoto, Susumu Maruno, Yasuharu Shimeki

A noise suppressing distance measure for competitive learning neural networks

Authors: Ferdinand Peper, Mehdi N. Shirazi, Hideki Noda

Chaos and fractals from a forced artificial neural cell

Authors: Toshimichi Saito and Masami Oikawa

1992

Comments on 'Bayes statistical behavior and valid generalization of pattern classifying neural networks' [with reply]

Authors: Etienne Barnard, Fumio Kanaya, Shigeki Miyake

Massively parallel architectures for large scale neural network simulations

Authors: Yoshiji Fujimoto, Naoyuki Fukuda, Toshio Akabane

On fuzzy modeling using fuzzy neural networks with the back-propagation algorithm

Authors: Shin-ichi Horikawa, Takeshi Furuhashi, Yoshiki Uchikawa

A connectionist approach for rule-based inference using an improved relaxation method

Authors: Hiroshi Narazaki and Anca L. Ralescu

Neural networks designed on approximate reasoning architecture and their applications

Authors: Hideyuki Takagi, Noriyuki Suzuki, Toshiyuki Koda, Yoshihiro Kojima

Spatial versus temporal stability issues in image processing neuro chips

Authors: Takashi Matsumoto, Haruo Kobayashi, Yoshio Togawa

Neural network controller using autotuning method for nonlinear functions

Authors: Takayuki Yamada and Tetsuro Yabuta

Functional abilities of a stochastic logic neural network

Authors: Yoshikazu Kondo and Yasuji Sawada

A modular CMOS design of a Hamming network

Authors: Moises E. Robinson, Hideki Yoneda, Edgar Snchez-Sinencio

Information geometry of Boltzmann machines

Authors: Shun-ichi Amari, Koji Kurata, Hiroshi Nagaoka

Rotation-invariant neural pattern recognition system with application to coin recognition

Authors: Minoru Fukumi, Sigeru Omatu, Fumiaki Takeda, Toshihisa Kosaka

Neural network application for direct feedback controllers

Authors: Yoshiaki Ichikawa and Toshiyuki Sawa

A parallel improvement algorithm for the bipartite subgraph problem

Authors: Kuo Chun Lee, Nobuo Funabiki, Yoshiyasu Takefuji

1991

A new back-propagation algorithm with coupled neuron

Authors: Minoru Fukumi and Sigeru Omatu

A neural network approach to a Bayesian statistical decision problem

Authors: Shigeki Miyake and Fumio Kanaya

A nonlinear regulator design in the presence of system uncertainties using multilayered neural network

Authors: Youji Iiguni, Hideaki Sakai, Hidekatsu Tokumaru

Bayes statistical behavior and valid generalization of pattern classifying neural networks

Authors: Fumio Kanaya and Shigeki Miyake

Handwritten alphanumeric character recognition by the neocognitron

Authors: Kunihiko Fukushima and Nobuaki Wake

Comments on 'Parallel algorithms for finding a near-maximum independent set of a circle graph' [with reply]

Authors: Evan W. Steeg, Yoshiyasu Takefuji, Kuo Chun Lee

1990

Parallel algorithms for finding a near-maximum independent set of a circle graph

Authors: Yoshiyasu Takefuji, Li-Lin Chen, Kuo Chun Lee, John Huffman

ATM communications network control by neural networks

Author: Atsushi Hiramatsu

A parallel algorithm for tiling problems

Authors: Yoshiyasu Takefuji and Kuo Chun Lee