Recurrent neural network-based fuzzy logic system

Details Recurrent neural network-based fuzzy logic system Recurrent neural network-based fuzzy logic system

1994-06-24

1997-02-25

Downs, Robert W.

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395 3, 395 21, 382158, G06E 100, G06E 300

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056066465

ABSTRACT:
A recurrent, neural network-based fuzzy logic system includes neurons in a rule base layer which each have a recurrent architecture with an output-to-input feedback path including a time delay element and a neural weight. Further included is a neural network-based, fuzzy logic finite state machine wherein the neural network-based, fuzzy logic system has a recurrent architecture with an output-to-input feedback path including at least a time delay element. Still further included is a recurrent, neural network-based fuzzy logic rule generator wherein a neural network receives and fuzzifies input data and provides data corresponding to fuzzy logic membership functions and recurrent fuzzy logic rules.

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