On fuzzy modeling using fuzzy neural networks with the back-propagation algorithm

Shin‐ichi Horikawa; Takeshi Furuhashi; Y. Uchikawa

doi:10.1109/72.159069

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On fuzzy modeling using fuzzy neural networks with the back-propagation algorithm

Shin‐ichi Horikawa Takeshi Furuhashi Y. Uchikawa

Year: 1992 Journal: IEEE Transactions on Neural Networks Vol: 3 (5)Pages: 801-806 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/72.159069

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Abstract

A fuzzy modeling method using fuzzy neural networks with the backpropagation algorithm is presented. The method can identify the fuzzy model of a nonlinear system automatically. The feasibility of the method is examined using simple numerical data.

Keywords:

Backpropagation Artificial neural network Fuzzy logic Computer science Neuro-fuzzy Artificial intelligence Algorithm Simple (philosophy) Fuzzy control system Nonlinear system Machine learning

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Fuzzy Logic and Control Systems

Physical Sciences → Computer Science → Artificial Intelligence

Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Scientific Research Methods

Life Sciences → Agricultural and Biological Sciences → Food Science

On fuzzy modeling using fuzzy neural networks with the back-propagation algorithm

Abstract

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Citation History

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