Fuzzy neural network approach to control systems
Madan M. Gupta, George K. Knopf · [1990] Proceedings. First International Symposium on Uncertainty Modeling and Analysis · 2002
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.>