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The fuzzy classifier system using the implicit bucked brigade algorithm

机译:采用隐含锁定旅算法的模糊分类器系统

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The Fuzzy Classifier System (ECS) makes the classifier system be able to carry out the mapping from continuous inputs to outputs. The classifier system can evaluate the usefulness of rules represented by classifiers with repeated learning. It isthe ECS that applies this ability of the machine learning to the concept of fuzzy controller. It is that the antecedent and consequent of classifier is same as a fuzzy rule of the rule base. In this paper, the FCS is the Michigan style and fuzzifies theinput values to create the messages. The system stores those messages in the message list and uses the implicit Bucket Brigade Algorithms. Also the ECS employs the Genetic Algorithms (GAs) to make new rules and modify rules when performance of the systemneeds to be improved.
机译:模糊分类器系统(ECS)使分类器系统能够从连续输入执行映射到输出。分类器系统可以评估分类器代表的规则与重复学习的有用性。它是ECS,适用机器学习的这种能力,模糊控制器的概念。这是分类器的前一种和结果与规则基础的模糊规则相同。在本文中,FCS是密歇根风格,并模糊incutize值创建消息。该系统将这些消息存储在消息列表中,并使用隐式铲斗大队算法。 ECS还采用遗传算法(气体)来制定新规则并在要改进的系统性能时修改规则。

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