首页> 外文会议>International Symposium on Neural Networks(ISNN 2006) pt.2; 20060528-0601; Chengdu(CN) >Some Key Issues in the Design of Self-Organizing Fuzzy Control Systems
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Some Key Issues in the Design of Self-Organizing Fuzzy Control Systems

机译:自组织模糊控制系统设计中的几个关键问题

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摘要

The design of self-organizing fuzzy control (SOFC) systems does not rely on experts' knowledge. The systems can establish fuzzy reasoning rules and adjust fuzzy parameters on-line automatically. So they are suitable for the control of plants for which we have no appropriate mathematical models and no other knowledge. There are three kinds of SOFCs, i.e., conventional, neural networks based and genetic algorithm based ones. New achievements of the above SOFC are summarized in this paper.
机译:自组织模糊控制(SOFC)系统的设计不依赖专家的知识。该系统可以建立模糊推理规则并自动在线调整模糊参数。因此,它们适用于没有适当数学模型且没有其他知识的工厂控制。 SOFC分为三种,即常规的,基于神经网络的和基于遗传算法的。本文总结了上述SOFC的新成果。

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