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Direct search for global minimum in neural network

 

作者: Katsuo Toguchi,   Toshihiro Shimizu,  

 

期刊: AIP Conference Proceedings  （AIP Available online 1900）
卷期: Volume 519, issue 1  

页码: 655-657

 

ISSN:0094-243X

 

年代: 1900

 

DOI:10.1063/1.1291638

 

出版商: AIP

 

数据来源: AIP

 

摘要:

A new model of neural network is proposed and applied to the traveling salesman problem with 10 cities. It is shown that the network can find the shortest path in the ratio of 100&percent; without being trapped in any local minima. The mechanism is investigated. ©2000 American Institute of Physics.

 

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