S
Shingo Mabu
Researcher at Yamaguchi University
Publications - 391
Citations - 2883
Shingo Mabu is an academic researcher from Yamaguchi University. The author has contributed to research in topics: Association rule learning & Evolutionary computation. The author has an hindex of 22, co-authored 390 publications receiving 2664 citations. Previous affiliations of Shingo Mabu include Aichi Prefectural University & Waseda University.
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A Graph-Based Evolutionary Algorithm: Genetic Network Programming (GNP) and Its Extension Using Reinforcement Learning
TL;DR: An extended algorithm, GNP with Reinforcement Learning (GNPRL) is proposed which combines evolution and reinforcement learning in order to create effective graph structures and obtain better results in dynamic environments.
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An Intrusion-Detection Model Based on Fuzzy Class-Association-Rule Mining Using Genetic Network Programming
TL;DR: A novel fuzzy class-association-rule mining method based on genetic network programming (GNP) for detecting network intrusions and can be flexibly applied to both misuse and anomaly detection in network-intrusion-detection problems.
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A genetic network programming with learning approach for enhanced stock trading model
TL;DR: The stock trading model using GNP-Sarsa outperforms all the other methods and sub-nodes are introduced in each node to select appropriate stock price information depending on the situations and to determine appropriate actions (buying/selling).
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Enhancing the generalization ability of neural networks through controlling the hidden layers
TL;DR: Two new variants of backpropagation algorithm are proposed that the outputs of nodes in the hidden layers are controlled with the aim to solve the moving target problem and the distributed weights problem through using Gaussian regularizer.