模糊神经计算:一些进展

Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482) Pub Date : 2000-01-19 DOI:10.1109/ICIT.2000.854113

M. Gupta

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摘要

本文给出了利用突触运算和躯体运算进行模糊神经计算的一些基本原理。我们首先简要回顾基于传统代数突触(合流)和体细胞(聚集)操作的神经系统。然后给出了一种基于模糊逻辑的神经元形态及其以t算子形式的推广。对于这种基于模糊逻辑的神经元，我们开发了学习和自适应算法。

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Fuzzy-neural computing: some advances

In this paper we give some basic principles of fuzzy neural computing using synaptic and somatic operations. We first briefly review the neural systems based upon the conventional algebraic synaptic (confluence) and somatic (aggregation) operations. Then we provide a detailed neuronal morphology based upon fuzzy logic and its generalization in the form of T-operators. For such fuzzy logic based neurons, we then develop the learning and adaptation algorithm.

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Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482)

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