The problem of rule explosion in FNN controller is solved for multi-variable systems.
采用自适应神经模糊推理系统，对控制器的参数进行优化。
To solve the typical "fuzzy rule explosion" problem in designing the high dimensional fuzzy controller, ant colony algorithm is used to filter a designed complete fuzzy-rule base.
针对设计高维模糊控制器过程中会遇到的“规则爆炸”问题，利用蚁群算法进行控制规则的过滤简化。
To solve the typical "fuzzy rule explosion" problem in designing the high dimensional fuzzy controller, ant colony algorithm is used to filter a designed complete fuzzy-rule base.
针对设计高维模糊控制器过程中会遇到的“规则爆炸”问题，利用蚁群算法进行控制规则的过滤简化。
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