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检索条件"主题词=Genetic Network Programming"
139 条 记 录,以下是111-120 订阅
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Hierarchical association rule mining in large and dense databases using genetic network programming
Hierarchical association rule mining in large and dense data...
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Annual Conference on the Society-of-Instrument-and-Control-Engineers
作者: Gonzales, Eloy Shimada, Kaoru Mabu, Shingo Hirasawa, Kotaro Hu, Jinglu Waseda Univ Grad Sch Informat Prod & Syst Wakamatsu Ku Kitakyushu Fukuoka 8080135 Japan
In this paper we propose a new hierarchical method to extract association rules from large and dense datasets using genetic network programming (GNP) considering a real world database with a huge number of attributes.... 详细信息
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Buying and selling stocks of multi brands using genetic network programming with control nodes
Buying and selling stocks of multi brands using genetic netw...
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Annual Conference on the Society-of-Instrument-and-Control-Engineers
作者: Bao, Zhiguo Mabu, Shigo Hirasawa, Kotaro Hu, Jinglu Waseda Univ Grad Sch Informat Prod & Syst Tokyo Japan
A new evolutionary method named "genetic network programming with control nodes, GNPcn" has been proposed. GNPcn represents its solutions as directed graph structures which have some useful features inherent... 详细信息
来源: 评论
Enhancement of trading rules on stock markets using genetic network programming with Sarsa Learning
Enhancement of trading rules on stock markets using Genetic ...
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Annual Conference on the Society-of-Instrument-and-Control-Engineers
作者: Chen, Yan Mabu, Shingo Hirasawa, Kotaro Hu, Jinglu Waseda Univ Grad Sch Informat Prod & Syst Wakamatsu Ku Fukuoka Japan
In this paper, the enhancement of trading rules on stock markets using genetic network programming (GNP) with Sarsa Learning is described. There are three important points in this paper: First, we use GNP with Sarsa l... 详细信息
来源: 评论
Trading Rules on Stock Markets Using genetic network programming with Sarsa Learning  07
Trading Rules on Stock Markets Using Genetic Network Program...
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Annual Conference of genetic and Evolutionary Computation Conference
作者: Chen, Yan Mabu, Shingo Hirasawa, Kotaro Hu, Jinglu Waseda Univ Grad Sch Informat Prod & Syst Tokyo Japan
In this paper, the genetic network programming (GNP) for creating trading rules on stocks is described. GNP is an evolutionary computation, which represents its solutions using graph structures and has some useful fea... 详细信息
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Association Rule Mining for Continuous Attributes using genetic network programming  07
Association Rule Mining for Continuous Attributes using Gene...
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Annual Conference of genetic and Evolutionary Computation Conference
作者: Taboada, Karla Shimada, Kaoru Mabu, Shingo Hirasawa, Kotaro Hu, Jinglu Waseda Univ Grad Sch Informat Prod & Syst Tokyo Japan
Most association rule mining algorithms make use of discretization algorithms for handling continuous attributes. However, by means of methods of discretization, it is difficult to get highest attribute interdependenc... 详细信息
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Double-Deck Elevator Group Supervisory Control System Using genetic network programming with Ant Colony Optimization with Evaporation
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JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS 2007年 第9期11卷 1149-1158页
作者: Yu, Lu Zhou, Jin Mabu, Shingo Hirasawa, Kotaro Hu, Jinglu Markon, Sandor Waseda Univ Grad Sch Informat Prod & Syst Wakamatsu Ku 2-7 Hibikino Kitakyushu Fukuoka 8030135 Japan Fujitec Co Ltd Prod Dev HQ Hikone Shiga 5228588 Japan
Recently, Artificial Intelligence (AI) technology has been applied to many applications. As an extension of genetic Algorithm (GA) and genetic programming (GP), genetic network programming (GNP) has been proposed, who... 详细信息
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genetic relation algorithm with guided mutation for the large-scale portfolio optimization
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EXPERT SYSTEMS WITH APPLICATIONS 2011年 第4期38卷 3353-3363页
作者: Chen, Yan Mabu, Shingo Hirasawa, Kotaro Shanghai Univ Finance & Econ Sch Stat & Maragement Shanghai 200433 Peoples R China Waseda Univ Grad Sch Informat Prod & Syst Kitakyushu Fukuoka 8080135 Japan
The survey of the relevant literatures shows that there have been many studies for portfolio optimization problems and that the number of studies which have investigated the optimum portfolio using evolutionary comput... 详细信息
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An evolutionary approach to rank class association rules with feedback mechanism
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EXPERT SYSTEMS WITH APPLICATIONS 2011年 第12期38卷 15040-15048页
作者: Yang, Guangfei Mabu, Shingo Shimada, Kaoru Hirasawa, Kotaro Waseda Univ Grad Sch Informat Prod & Syst Wakamatsu Ku Fukuoka 8080135 Japan Dalian Univ Technol Inst Syst Engn Dalian 116023 Liaoning Peoples R China
In this paper, we propose an evolutionary associative classification method by considering both adjustment of the order of the whole set of rules and refinement of the power of each single rule. We discover an interes... 详细信息
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A novel evolutionary method to search interesting association rules by keywords
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EXPERT SYSTEMS WITH APPLICATIONS 2011年 第10期38卷 13378-13385页
作者: Yang, Guangfei Mabu, Shingo Shimada, Kaoru Hirasawa, Kotaro Waseda Univ Grad Sch Informat Prod & Syst Wakamatsu Ku Fukuoka 8080135 Japan Dalian Univ Technol Inst Syst Engn Dalian 116024 Liaoning Peoples R China
In this paper, we propose an evolutionary method for directly mining interesting association rules. Most of the association rule mining methods give a large number of rules, and it is difficult for human beings to dea... 详细信息
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A Supervised Learning Framework for PCA-based Face Recognition using GNP Fuzzy Data Mining
A Supervised Learning Framework for PCA-based Face Recogniti...
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IEEE International Conference on Systems, Man and Cybernetics (SMC)
作者: Zhang, Deng Mabu, Shingo Wen, Feng Hirasawa, Kotaro Waseda Univ Grad Sch Informat Prod & Syst Kitakyushu Fukuoka Japan
Traditional PCA-based face recognition algorithms usually have low performance in the complicated illumination database. There are two reasons. One is that the number of classes is large compared with other classifica... 详细信息
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