Optimization of Network Parameters on Structured Genetic Algorithm

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概要

• 論文の詳細を見る

• In this paper, a time-series prediction is carried out by the GA (Genetic Algorithm) method. We used the polynomial network which was constructed by GMDH (Group Method on Data Handling) as a chromosome structure for the GA, and applied the generalized delta rule to optimize the network parameters. The results show that the method is greatly effective for some time-series generated with nonlinear discrete maps, and also fairly valid for the real time-series.

• 東海大学の論文

著者

• Fujimori Seiichi

  Department Of Electrical Engineering

• Fujimori Seiichi

  Department Of Electrical Engineering School Of Engineering Ii

• MITSUBOSHI Kunihito

  Course of Electrical Engineering, Graduate School of Engineering

• MIKAMI Kazue

  Course of Electrical Engineering, Graduate School of Engineering

• Mitsuboshi Kunihito

  Course Of Electrical Engineering Graduate School Of Engineering

• Mikami Kazue

  Course Of Electrical Engineering Graduate School Of Engineering

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