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Implementation of a fuzzy inference system using a normalized fuzzy neural network

✍ Scribed by Chun-Tang Chao; Ching-Cheng Teng

Publisher
Elsevier Science
Year
1995
Tongue
English
Weight
736 KB
Volume
75
Category
Article
ISSN
0165-0114

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A new model for generalized fuzzy inference neural networks (GFINN) is proposed in this paper. The networks consist of three layers: an input-output layer, an if layer, and a then layer. In each layer, there are the operational nodes. A GFINN can perform three representative fuzzy inference methods