MABU Shingo | 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
1C3-4 Benchmark Test of RasID-GA for Inequality/Equality Constrained Optimization
Propagation and control of stochastic signals through universal learning networks
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
Multiple-Round English Auction Agent Based on Genetic Network Programming
Mining Fuzzy Association Rules : A General Model Based on Genetic Network Programming and its Applications

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