HIRASAWA Kotaro | Graduate School of Information, Production and Systems, Waseda University

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概要

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著作論文

Time Related Class Association Rule Mining and Its Application to Traffic Prediction
Real Time Updating Genetic Network Programming for Adapting to the Change of Stock Prices
Elevator Group Supervisory Control System Using Genetic Network Programming with Macro Nodes and Reinforcement Learning
A Double-Deck Elevator Group Supervisory Control System with Destination Floor Guidance System Using Genetic Network Programming
Network Intrusion Detection Using Class Association Rule Mining Based on Genetic Network Programming
Application of Universal Learning Networks to PV-Supplied DC Moter Drives
Universal Learning Network-Based Fuzzy System and Its Application to Non-Linear Control System
Task-Oriented Reinforcement Learning for Continuing Task in Dynamic Environment
Propagation and control of stochastic signals through universal learning networks
A functions localized neural network with branch gates
Hybrid Universal Learning Networks
Genetic Network Programming with Reinforcement Learning and Its Application to Making Mobile Robot Behavior
EvoCMAR : A New Evolutionary Method to Directly Mine Association Rules for Classification
Time Related Class Association Rule Mining and Its Application to Traffic Prediction
Stock Price Prediction using Neural Networks with RasID-GA
A Nonlinear Model to Rank Association Rules Based on Semantic Similarity and Genetic Network Programing
Buying and Selling Stocks of Multi Brands Using Genetic Network Programming with Control Nodes
A Traffic-Flow-Adaptive Controller of Double-Deck Elevator Systems using Genetic Network Programming
Association Rule Mining for Continuous Attributes using Genetic Network Programming
KDI-Based Robust Fault Detection in Presence of Nonlinear Undermodeling
A Hybrid Quasi-ARMAX Modeling Scheme for Identification of Nonlinear Systems
Learning Petri Network and Its Application to Non-linear System Control
Elevator Group Control Using Multiagent Task-Oriented Reinforcement Learning
A New Learning Method Using Local and Global Information for Neural Networks
Increasing Robustness of Binary-coded Genetic Algorithm
An Incremental Learning of Neural Network with Multiplication Units for Function Approximation
Behavior Learning of Autonomous Robots by Modified Learning Vector Quantization
Multiple-Round English Auction Agent Based on Genetic Network Programming
Enhancing the Generalization Ability of Neural Networks by Using Gram-Schmidt Orthogonalization Algorithm
Mining Fuzzy Association Rules : A General Model Based on Genetic Network Programming and its Applications
An Efficient Preprocessing Method for Suboptimal Route Computation
Algorithm for Route Planning with Multiple Intermediate Destinations

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