A neural based approach of contraints satisfaction problem

This paper shows that any constraint satisfaction problem can be solved by a neural network which can be designed by using the problem representation by a constraint programming language. An example of such a transformation is given for the tasks assignment problem. At last we present a method which...

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Bibliographic Details
Main Authors: Bourret, P., Gaspin, Christine
Format: Conference Proceeding
Language:English
Subjects:
Life Sciences
Online Access:Get full text
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Summary:This paper shows that any constraint satisfaction problem can be solved by a neural network which can be designed by using the problem representation by a constraint programming language. An example of such a transformation is given for the tasks assignment problem. At last we present a method which enables us to reduce the number of needed units by splitting the problem into two subproblems.