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Genetic algorithm combined with immune mechanism and its application in skill fuzzy control

【摘要】:正Automation of skill fuzzy control system is an important research aspect of fuzzy control fields.It's significant for those control instances consisted in production and people's daily life.But,how to control a system not movement or behavior rules but only relied on movement parameters,that problem still had not be resolved.This paper proposes a new method used a genetic algorithm based on immune mechanism to learn the degree of membership,at same time, simplifying the corresponding movement equation.its efficiency will be indicated by an example

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