Skip to main content
Conference ProceedingsOPEN ACCESS

Hybrid technique for artificial neural network architecture and weight optimization

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2005) 3721 LNAI 709-716
DOI: 10.1007/11564126_76
6Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

This work presents a technique that integrates the heuristics tabu search, simulated annealing, genetic algorithms and backpropagation. This approach obtained promising results in the simultaneous optimization of the artificial neural network architecture and weights. © Springer-Verlag Berlin Heidelberg 2005.

Cite

CITATION STYLE

APA

Zanchettin, C., & Ludermir, T. B. (2005). Hybrid technique for artificial neural network architecture and weight optimization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3721 LNAI, pp. 709–716). https://doi.org/10.1007/11564126_76

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free