基于规则系统的时间神经模糊模型

Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97 Pub Date : 1997-05-27 DOI:10.1109/KES.1997.619454

F. Alpaslan, E. Bilen, L. Jain

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引用次数: 1

摘要

本文报道了一种基于模糊推理的时间神经模糊模型的发展，该模型能够表示时间信息。该系统采用前馈多层神经网络实现。学习算法是对反向传播算法的改进。该系统旨在应用于医疗诊断系统中。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A temporal neurofuzzy model for rule-based systems

The paper reports the development of a temporal neuro-fuzzy model using fuzzy reasoning which is capable of representing the temporal information. The system is implemented as a feedforward multilayer neural network. The learning algorithm is a modification of the backpropagation algorithm. The system is aimed to be used in a medical diagnosis systems.

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来源期刊

Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97

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