A mathematical model for an adaptive fuzzy neuron is proposed. Each neuron within a network corresponds to a fuzzy inference rule. These neurons may learn from experience via the adaptation of synaptic modifiers. The parallel structure of a fuzzy neural network controller enables complex decisions to be made in real-time. A simplified example of a neural network for controlling the steering of an automobile is used to illustrate these notions.
Fuzzy neural network approach to control systems
Ein neuronaler Netzansatz auf Fuzzy-Basis für Regelungssysteme
1991
6 Seiten, 7 Quellen
Aufsatz (Konferenz)
Englisch
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