This paper deals with the computational model for fuzzy reasoning neural network and its function approximation capability.
研究了模糊推理神经网络计算模型及其连续函数逼近能力。
In this paper, fuzzy neural network was studied and fuzzy reasoning was realized by use of neural networks structure. BP algorithm is used to optimize local parameter.
本文研究了模糊神经网络，用神经网络结构进行模糊推理，用BP算法调节和优化具有局部性的参数。
Based on the interval value fuzzy reasoning (IVFR), the fuzzy neural network is proposed.
在区间值模糊推理的理论基础上，提出了基于区间值推理的模糊神经网络。
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