ScienceDirect® Home Skip Main Navigation Links
You have guest access to ScienceDirect. Find out more.
 
Home
Browse
My Settings
Alerts
Help
 Quick Search
 Search tips (Opens new window)
    Clear all fields    
 
Font Size: Decrease Font Size  Increase Font Size
 Abstract - selected
Purchase PDF (2805 K)

Article Toolbox
 
 
 
Related Articles in ScienceDirect
View More Related Articles
 
View Record in Scopus
 
doi:10.1016/0304-3975(95)00134-4    
How to Cite or Link Using DOI (Opens New Window)

Copyright © 1996 Published by Elsevier Science B.V.

A unified constructive network model for problem-solving

Purchase the full-text article



References and further reading may be available for this article. To view references and further reading you must purchase this article.

Yoshikane Takahashi

NTT Communication Science Laboratories, Yokosuka, Kanagawa, 238-03, Japan


Communicated by M. Nivat 
Available online 12 February 1999.

Abstract

We develop a neural network model that relieves time-consuming trial-and-error computer experiments usually performed in problem-solving with networks where problems, including the traveling salesman problem, pattern matching and pattern classification/learning, are formulated as optimization problems with constraint. First, we specify and uniquely distinguish the model as a set of constituent functions that should comply with restrictive conditions. Next, we demonstrate that it is unified, i.e., it yields most current networks. Finally, we verify that it is constructive, i.e. we show a standard method that systematically constructs from a given optimization problem a particular network in that model to solve it.

Article Outline

• References

 
Home
Browse
My Settings
Alerts
Help
Elsevier.com (Opens new window)
About ScienceDirect  |  Contact Us  |  Information for Advertisers  |  Terms & Conditions  |  Privacy Policy
Copyright © 2008 Elsevier B.V. All rights reserved. ScienceDirect® is a registered trademark of Elsevier B.V.