A Superstring Galaxy Associative Memory Model with Expecting Fault-Tolerant Fields

The synthesis problems of associative memory models are not better solved until now. Learning from the idea of superstring theory, a design method of superstring galaxy associative memory model with expecting fault-tolerant field is proposed by making the sphere mapping and giving the algorithm of g...

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Main Authors: Xiao Yu, Guowei Yang, Derong Liu
Format: Conference Proceeding
Language:English
Subjects:
Associative memory
Automation
Design methodology
Educational institutions
Electronic mail
Fault tolerance
fault-tolerant field
galaxy covering
History
Knowledge acquisition
Knowledge engineering
Network synthesis
neural network
superstring theory
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Guowei Yang
Derong Liu
description The synthesis problems of associative memory models are not better solved until now. Learning from the idea of superstring theory, a design method of superstring galaxy associative memory model with expecting fault-tolerant field is proposed by making the sphere mapping and giving the algorithm of galaxy covering. The method better solves a difficult synthesis problem of associative memory models. The superstring galaxy associative memory model designed by the method can have expecting fault-tolerant fields of the samples.
doi_str_mv 10.1109/KAM.2009.48
format conference_proceeding
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subjects Associative memory
Automation
Design methodology
Educational institutions
Electronic mail
Fault tolerance
fault-tolerant field
galaxy covering
History
Knowledge acquisition
Knowledge engineering
Network synthesis
neural network
superstring theory
title A Superstring Galaxy Associative Memory Model with Expecting Fault-Tolerant Fields
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