Systems engineering applications of fuzzy neural networks
Yoichi Hayashi, James J. Buckley, E. Czogała · 2003
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.>