Proceedings of the Annual Conference of Biomedical Fuzzy Systems Association
Online ISSN : 2424-2586
Print ISSN : 1345-1510
ISSN-L : 1345-1510
14
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Study on Subjective Data Retrieval System based on Symbolized Particles Store Type Neuron Model
Kazunori MIYAMOTONaruki SHIRAHAMATorao YANARU
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CONFERENCE PROCEEDINGS FREE ACCESS

Pages 96-99

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Abstract

Information Technology has been applied to several fields and then Data Retrieval System is very important tool. We have proposed a new type of neuron model including the simulated synaptic function where the symbolized particles are generated, emitted, stored and released as a simplified analogy of the function that real neurons and synapses do by chemical particles taking the field of the reacted particles into account as a kind of sampled database. We applied this model to subjective data retrieval system.

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© 2001 Biomedical Fuzzy Systems Association
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