A mixed-integer programming approach for optimal configuration of artificial neural networks-Reference-Cited by-同舟云学术

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A mixed-integer programming approach for optimal configuration of artificial neural networks

Published:2010-01 Issue:1 Volume:88 Page:55-60
ISSN:0263-8762
Container-title:Chemical Engineering Research and Design
language:en
Short-container-title:Chemical Engineering Research and Design

Author:

Dua Vivek

Publisher

Elsevier BV

Subject

General Chemical Engineering,General Chemistry

Reference21 articles.

1. Neural Networks in Bioprocessing and Chemical Engineering;Baughman,1995

2. An algorithmic framework for convex mixed integer nonlinear programs;Bonamia;Discrete Optimization,2008

3. GAMS: a User's Guide;Brooke,2008

4. The NEOS server;Czyzyk;IEEE Computational Science and Engineering,1998

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