A neural net for extracting knowledge from natural language data bases.

A neural net for extracting knowledge from natural language data bases. Research Abstract Details 

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A neural net for extracting knowledge from natural language data bases. Abstract Text:

A F Rocha,I R Guilherme,M Theoto,A K Miyadahira,M S Koizumi,

A model of a fuzzy neuron, one which increases the computational power of the artificial neuron, turning it also into a symbolic processing device, is presented. The model proposes the synapsis to be symbolically and numerically defined, by means of the assignment of tokens to the presynaptic and postsynaptic neurons. The matching or concatenation compatibility between these tokens is used to decide about the possible connections among neurons of a given net. The strength of the compatible synapsis is made dependent on the amount of the available presynaptic and postsynaptic tokens. The symbolic and numeric processing capacity of the new fuzzy neuron is used to build a neural net (JARGON) to disclose the existing knowledge in natural language databases such as medical files, sets of interviews and reports about engineering operations.

A neural net for extracting knowledge from natural language data bases. Publishing Authors By Initials

AF Rocha,IR Guilherme,M Theoto,AK Miyadahira,MS Koizumi,

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A neural net for extracting knowledge from natural language data bases. Journal Published:

PUBLICATION TYPE: Journal Article

Journal: IEEE transactions on neural networks / a publicati

VOLUME: 3

Page Numbers: 819-28

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ISSN: 1045-9227

DAY: 15

MONTH: 02

YEAR: 1992

A neural net for extracting knowledge from natural language data bases. Information

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LANGUAGE: eng

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Grant and Affiliation Information for A neural net for extracting knowledge from natural language data bases.

AFFILIATION: Res. on Natural and Artificial Intelligence, Jundia.

Country: United States

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MEDLINETA: IEEE Trans Neural Netw

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