Prediction of Future Stock Trends by Using Two-Stage Hierarchical Systems Based on the Segment Categorization and Recognition of Series of Category Symbols Using the Genetic Programming
スポンサーリンク
概要
著者
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Tokinaga Shozo
The Graduate School Of Economics Kyushu University
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Kishikawa Yoshinori
The Faculty Of System Science And Technology Akita Prefectural University
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Kishikawa Yoshinori
The Faculty Of Economics Kyushu University
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時永 祥三
the Graduate School of Economics, Kyushu University
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岸川 善紀
the Faculty of System Science and Technology, Akita Prefectural University
関連論文
- Controlling the Chaotic Dynamics by Uusing Approximated System Equations Obtained by the Genetic Programming(Special Section on Nonlinear Theory and its Applications)
- Approximation of Chaotic Dynamics by Using Smaller Number of Data Based upon the Genetic Programming and Its Applications(Special Section on Digital Signal Processing)
- Prediction of Stock Trends by Using the Wavelet Transform and the Multi-Stage Fuzzy Inference System Optimized by the GA(Special Section on Intelligent Signal and Image Processing)
- Approximation of Multi-Dimensional Chaotic Dynamics by Using Multi-Stage Fuzzy Inference Systems and the GA(Special Section on Nonlinear Theory and its Applications)
- Approximation of Chaotic Dynamics for Input Pricing at Service Facilities Based on the GP and the Control of Chaos
- Prediction of Future Stock Trends by Using Two-Stage Hierarchical Systems Based on the Segment Categorization and Recognition of Series of Category Symbols Using the Genetic Programming