A constructive algorithm of neural approximation models for optimization problems-Reference-Cited by-同舟云学术

A constructive algorithm of neural approximation models for optimization problems

Published:2009-09-11 Issue:5 Volume:28 Page:1276-1289
ISSN:0332-1649
Container-title:COMPEL - The international journal for computation and mathematics in electrical and electronic engineering
language:en
Short-container-title:COMPEL

Author:

Carcangiu Sara,Fanni Alessandra,Montisci Augusto

Publisher

Emerald

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computational Theory and Mathematics,Computer Science Applications

Reference19 articles.

1. An efficient hybrid algorithm for the optimization of problems with several local minima

2. A "design of experiment" and statistical approach to enhance the "generalised response surface" method in the optimisation of multiminima problems

3. Baria Perdiz, F.A. and Lebensztajn, L. (2007), “Multiobjective optimization applied to electromagnetic devices”, Journal of Microwave and Optoelectronics, Vol. 6 No. 1, pp. 167‐77.

4. Phase retrieval, error reduction algorithm, and Fienup variants: a view from convex optimization

5. ANN inverse mapping technique applied to electromagnetic design

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