Lotka-Volterra Systems under Consideration of Fuzzy Symbiosis and Learning

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  • ファジィ共生と学習を考慮したLotka-Volterra生態系モデル
  • ファジィ キョウセイ ト ガクシュウ オ コウリョ シタ Lotka-Volterra セイタイケイ モデル

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Abstract

In recent years there has been renewal of interest in the concept of symbiosis. We propose a new modeling method of the complex systems named modified Lotka-Volterra systems using the concept of symbiosis. The symbiosis parameters are built in modified Lotka-Volterra systems and theses parameters are changed by fuzzy inference whose fuzzy rules are composed of Predator-Prey model. The purpose of this paper is to analyze the various phenomena of the proposed model and to train parameters in the fuzzy membership functions using RasID learning algorithm. The result of our experiment shows that we can more easily obtain the similar phenomena to real chaotic systems than the conventional methods.

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