Deterministic encoding of fuzzy finite state automata in continu

Data processing: artificial intelligence – Fuzzy logic hardware – Fuzzy neural network

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706 23, 706 30, G06F 1518, G05B 1300

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059436590

ABSTRACT:
Based on the encoding of deterministic finite-state automata (DFA) in discrete-time, second-order recurrent neural networks, an algorithm constructs an augmented recurrent neural network that encodes a FFA and recognizes a given fuzzy regular language with arbitrary accuracy.

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Rao et al., "Neural Networks in Control Systems", Wescanex, Communications, Computer and Power in the Modern Environment, IEEE 1993.

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