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zbMATH Open
Article . 1998
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Fuzzy Grammatical Inference Using Neural Network

Fuzzy grammatical inference using neural network
Authors: Blanco Morón, Armando; Delgado, A.; Pegalajar Jiménez, Mª Carmen;

Fuzzy Grammatical Inference Using Neural Network

Abstract

We have shown a model of fuzzy neural network that is able to infer the relations associated to the transitions of a fuzzy automaton from a fuzzy examples set. Neural network is trainned by a backpropagation of error based in a smooth derivative [Blanco96]. Once network has been trainned the fuzzy relations associated to the transitions of the automaton are found encoded in the weights.

Country
Spain
Keywords

Fuzzy automata, Classificació AMS::03 Mathematical logic and foundations::03B General logic, Fuzzy recurrent neural network, fuzzy automata, Learning and adaptive systems in artificial intelligence, Reasoning under uncertainty in the context of artificial intelligence, Lògica matemàtica, Lògica difusa, :03 Mathematical logic and foundations::03B General logic [Classificació AMS], Grammars and rewriting systems, Fuzzy grammatical inference, fuzzy grammatical inference, fuzzy recurrent neural network, Theorem proving (deduction, resolution, etc.)

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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