自适应模糊神经网络研究

Studies on a adaptable fuzzy neural network architecture

模糊神经网络提供了从人工神经网络中模糊规则的抽取。本文研究模糊神经网络的自适应学习、规则插入和抽取及神经-模糊推理的FuNN模型。把遗传算法作为系统模糊规则选择的自适应策略之一。

Fuzzy neural networks provide for the extraction of fuzzy rules from artificial neural network architectures. This paper investigates adaptive learning, rule extraction and insertion, and neural -fuzzy reasoning for a particular model of a fuzzy neural network called FuNN. Genetic algorithms are employed as an adaptive method for selection of the fuzzy rules of the system.