This paper has presented a method of designing a learning fuzzy logic reasoning network system.
提出了一种自学习模糊逻辑推理网络的系统设计方法。
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。
Reasoning method based on fuzzy logic is used to simulate thinking processes of human experts, and reasoning network of strip mining expert system has been proposed.
对以模糊逻辑为基础的推理方法进行了探讨，并用以模拟专家的思维过程，提出了条带开采专家系统的推理网络。
The input and output of the network are fuzzy sets, and the network can complete composite relation after training, namely fuzzy reasoning.
网络的输入输出均为模糊集，训练后的网络能完成合成关系，即模糊推理。
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。
A process parameters design system of resistance spot welding of aluminum alloys integrating case based reasoning, fuzzy inference and fuzzy neutral network (FNN) was developed.
采用集成基于事例推理，模糊推理，模糊神经网络(FNN)等多种人工智能推理技术，建立了铝合金电阻点焊工艺参数设计系统。
A simple artificial intelligence system for fault diagnosis established in this paper. The system consists of knowledge base, fuzzy reasoning module, neural network module and control module.
设计了一个简单的人工智能故障诊断系统模型，它包括知识库、模糊推理、神经网络和控制模块等。
The integrated ANN consists of fuzzy ART2 and BP network has ability of finding new fault type, accurate diagnostic reasoning and locating fault.
基于模糊ART神经网络及BP神经网络构建的集成神经网络更进一步具有发现新故障的能力，且能够对故障引发部位实现精确诊断和定位。
The integrated ANN consists of fuzzy ART2 and BP network has ability of finding new fault type, accurate diagnostic reasoning and locating fault.
基于模糊ART神经网络及BP神经网络构建的集成神经网络更进一步具有发现新故障的能力，且能够对故障引发部位实现精确诊断和定位。
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