Masanao Obayashi

According to our database1, Masanao Obayashi authored at least 62 papers between 2005 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
Search Heuristics for the Optimization of DBN for Time Series Forecasting.
Proceedings of the Deep Neural Evolution - Deep Learning with Evolutionary Computation, 2020

2019
An Improved Fuzzy Neural Network for Reinforcement Learning.
Proceedings of the 3rd International Conference on Big Data Research, 2019

2018
Unsupervised Image Classification Using Multi-Autoencoder and K-means++.
J. Robotics Netw. Artif. Life, 2018

Enhancing EEG Signals Recognition Using ROC Curve.
J. Robotics Netw. Artif. Life, 2018

Forecasting Real Time Series Data using Deep Belief Net and Reinforcement Learning.
J. Robotics Netw. Artif. Life, 2018

2017
A Rule-Based Classification System Enhanced by Multi-Objective Genetic Algorithm.
J. Robotics Netw. Artif. Life, 2017

Unsupervised class labeling of diffuse lung diseases using frequent attribute patterns.
Int. J. Comput. Assist. Radiol. Surg., 2017

Leader-Follower Adaptive Formation Control without Observation of Agent's Velocity Using Wavelet Neural Network.
Proceedings of the 9th International Conference on Machine Learning and Computing, 2017

2016
An Optimization of Spatio-Spectral Filter Bank Design for EEG Classification.
J. Robotics Netw. Artif. Life, 2016

An Evolutionary Algorithm for Making Decision Graphs for Classification Problems.
J. Robotics Netw. Artif. Life, 2016

A hand shape instruction recognition and learning system using growing SOM with asymmetric neighborhood function.
Neurocomputing, 2016

Combination of genetic network programming and knapsack problem to support record clustering on distributed databases.
Expert Syst. Appl., 2016

A random-forests-based classifier using class association rules and its application to an intrusion detection system.
Artif. Life Robotics, 2016

RP-AG-SOM: A Growing Self-organizing Map with Assymetric Neighborhood Function and Variable Radius.
Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016, 2016

Deep Belief Network Using Reinforcement Learning and Its Applications to Time Series Forecasting.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Leader-Follower Formation Control Using Cerebellar Perceptron Improved Model with Auto-structuring.
Proceedings of the 2016 IEEE Intl Conference on Computational Science and Engineering, 2016

2015
On-line Rule Updating System Using Evolutionary Computation for Managing Distributed Database.
J. Robotics Netw. Artif. Life, 2015

Reinforcement Learning with Symbiotic Relationships for Multiagent Environments.
J. Robotics Netw. Artif. Life, 2015

Ensemble learning of rule-based evolutionary algorithm using multi-layer perceptron for supporting decisions in stock trading problems.
Appl. Soft Comput., 2015

An Emotional Robot.
Proceedings of the Computational Intelligence - International Joint Conference, 2015

An Extended Q Learning System with Emotion State to Make Up an Agent with Individuality.
Proceedings of the 7th International Joint Conference on Computational Intelligence (IJCCI 2015), 2015

Evolutionary Rule Based Clustering for Making Fuzzy Object Oriented Database Models.
Proceedings of the IIAI 4th International Congress on Advanced Applied Informatics, 2015

An Autonomous Mobile Robot with Functions of Action Learning, Memorizing, Recall and Identifying the Environment Using Gaussian Mixture Model.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

2014
The Recollection Characteristics of Generalized MCNN Using Different Control Methods.
J. Robotics Netw. Artif. Life, 2014

A Decision Making System of Robots Introducing a Re-construction of Emotions Based on Their Own Experiences.
J. Robotics Netw. Artif. Life, 2014

Time series forecasting using a deep belief network with restricted Boltzmann machines.
Neurocomputing, 2014

One-D-R-A-G-SOM and its Application to a Hand Shape Instruction Learning System.
Int. J. Networked Distributed Comput., 2014

A variable size mechanism of distributed graph programs and its performance evaluation in agent control problems.
Expert Syst. Appl., 2014

One dimensional ring type growing SOM with asymmetric neighborhood function and its application to a hand shape instruction learning system.
Proceedings of the 15th IEEE/ACIS International Conference on Software Engineering, 2014

Ensemble learning of rule-based evolutionary algorithm using multi layer perceptron for stock trading models.
Proceedings of the 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS), 2014

How an Adaptive Learning Rate Benefits Neuro-Fuzzy Reinforcement Learning Systems.
Proceedings of the Advances in Swarm Intelligence - 5th International Conference, 2014

2013
An Improved Reinforcement Learning System Using Affective Factors.
Robotics, 2013

A gesture recognition system with retina-V1 model and one-pass dynamic programming.
Neurocomputing, 2013

Enhanced decision making mechanism of rule-based genetic network programming for creating stock trading signals.
Expert Syst. Appl., 2013

A method for analyzing the spatiotemporal changes of chaotic neural networks.
Artif. Life Robotics, 2013

Adaptive Control System Based on Self-Organizing Wavelet Neural Network with H8 Tracking Performance Compensator.
Proceedings of the IEEE International Conference on Systems, 2013

A Model of Emotional Intelligent Agent for Cooperative Goal Exploration.
Proceedings of the Intelligent Computing Theories - 9th International Conference, 2013

A variable size mechanism of distributed graph programs for creating agent behaviors.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
Handwriting character classification using Freeman's olfactory KIII model.
Artif. Life Robotics, 2012

An emotional model embedded reinforcement learning system.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

Cooperative Behavior Acquisition in Multi-agent Reinforcement Learning System Using Attention Degree.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Time Series Forecasting Using Restricted Boltzmann Machine.
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2012

2011
An Improved Internal Model of Autonomous Robots by a Psychological Approach.
Cogn. Comput., 2011

An Action Selection Method Based on Estimation of Other's Intention in Time-Varying Multi-agent Environments.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

A Gesture Recognition System Using One-Pass DP Method.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2011

2010
Parameterless-Growing-SOM and Its Application to a Voice Instruction Learning System.
J. Robotics, 2010

Intelligent agent construction using the attentive characteristic patterns of chaotic neural networks.
Artif. Life Robotics, 2010

Autonomic Behaviors of Swarm Robots Driven by Emotion and Curiosity.
Proceedings of the Life System Modeling and Intelligent Computing, 2010

2009
An Improved Internal Model for Swarm Formation and Adaptive Swarm Behavior Acquisition.
J. Circuits Syst. Comput., 2009

Adaptive swarm behavior acquisition by a neuro-fuzzy system and reinforcement learning algorithm.
Int. J. Intell. Comput. Cybern., 2009

A robust reinforcement learning using the concept of sliding mode control.
Artif. Life Robotics, 2009

A dynamic associative memory system by adopting an amygdala model.
Artif. Life Robotics, 2009

A reinforcement learning method based on an immune network adapted to a semi-Markov decision process.
Artif. Life Robotics, 2009

A Meta-learning Method Based on Temporal Difference Error.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

A Functional Model of Limbic System of Brain.
Proceedings of the Brain Informatics, International Conference, BI 2009, 2009

2008
A reinforcement learning system for swarm behaviors.
Proceedings of the International Joint Conference on Neural Networks, 2008

A Bayesian Local Linear Wavelet Neural Network.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

A Neuro-fuzzy Learning System for Adaptive Swarm Behaviors Dealing with Continuous State Space.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2008

A Self-Organized Fuzzy-Neuro Reinforcement Learning System for Continuous State Space for Autonomous Robots.
Proceedings of the 2008 International Conferences on Computational Intelligence for Modelling, 2008

2007
A Hippocampus-Neocortex Model for Chaotic Association.
Proceedings of the Trends in Neural Computation, 2007

2005
A Chaotic Model of Hippocampus-Neocortex.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

Nonlinear Prediction by Reinforcement Learning.
Proceedings of the Advances in Intelligent Computing, 2005


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