Generalized fuzzy inference neural netwo
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Hiroshi Kitajima; Masafumi Hagiwara
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Article
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1999
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John Wiley and Sons
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English
β 194 KB
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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