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A fuzzy expert system based on reconstructable neural network and its application

机译:基于可重构神经网络的模糊专家系统及其应用

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Due to the level and variety of the question, the neural network with single frame cannot meet the demands in combining expert system and neural network. This article puts forward a new reconstruction way of BP neural network frame, introduces the fuzzy logic theory, structures the fuzzy expert system on the basis of neural network that can be reconstructed, and realizes the thoughts by programming the system.
机译:由于问题的水平和各种,具有单帧的神经网络不能满足专家系统和神经网络组合的要求。本文提出了BP神经网络框架的新重建方式,介绍了模糊逻辑理论,基于可以重建的神经网络构建模糊专家系统,并通过编程系统来实现思想。

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