模糊神经控制器在全自动洗衣机中的应用

Application of fuzzy neural controller in completely automatic washer

模糊逻辑和神经网络都是处理不确定性 (受控对象缺乏精确的数学描述或具有时滞非线性等复杂性 )问题的有效手段。但模糊逻辑具有模拟人脑抽象思维的特点 ,适合于直接表示知识。而神经网络具有模拟人脑形象思维的特点 ,具有学习 ,记忆 ,容错等能力 ,二者存在一定的互补性。将神经网络引入模糊逻辑控制器可以更好地提高控制系统的智能性。

Fuzzy logic and neural network are valid methods of dealing with uncertainty. Fuzzy logic is characteristic of simulating abstract thought of human brain and fits to express knowledge directly, however, neural network has feature of simulating image thought of human brain and ability of leaning, memory and fault-tolerance. The former adapts to express from topto bottom, the latter adapts to learning process from bottom to top. Some associations of complementarity exist between them. Neural fuzzy logic technology that results from fuzzy logic and neural network may further improve intelligence of control system.