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The Neural Network with Fuzzy Inference Function

机译:具有模糊推理功能的神经网络

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摘要

Based on structure and algorithm of BP neural network and the characteristic of fuzzy inference system, the paper presents one new model of BP neural network which is merged with the function of fuzzy reasoning. In the model, the power of fuzzy reasoning is merged into the neuron of hidden layer so that the fuzzy neural network could excite fuzzy reasoning automatically according to the system input. At the same time, it could finish the nonlinear mapping using the BP algorithm. In the paper, we give some detailed algorithms of fuzzy rules extraction and fuzzy neural network.
机译:基于BP神经网络的结构和算法,结合模糊推理系统的特点,提出了一种结合模糊推理功能的BP神经网络模型。在该模型中,模糊推理的能力被合并到隐藏层的神经元中,从而模糊神经网络可以根据系统输入自动激发模糊推理。同时,它可以使用BP算法完成非线性映射。在本文中,我们给出了模糊规则提取和模糊神经网络的一些详细算法。

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