Title: Systems engineering applications of fuzzy neural networks
Abstract: Applications of three types of fuzzy neural networks are presented: crisp signals used to evaluate fuzzy weights; fuzzy signals combined with fuzzy weights; and fuzzy signals transformed by a fuzzy neuron (no weights). The applications are drawn from the fuzzy controller, system identification, and fuzzy expert systems. In all cases a learning algorithm is proposed. In each case, a brief review is presented of the model of the fuzzy neuron, together with a detailed discussion of the application of the neural network built up of these fuzzy neurons.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Publication Year: 2003
Publication Date: 2003-01-02
Language: en
Type: article
Indexed In: ['crossref']
Access and Citation
Cited By Count: 21
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot