Hybrid technique for artificial neural network architecture and weight optimization. Zanchettin, C. & Ludermir, T. Volume 3721 LNAI , 2005.
doi  abstract   bibtex   
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.
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 title = {Hybrid technique for artificial neural network architecture and weight optimization},
 type = {book},
 year = {2005},
 source = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
 volume = {3721 LNAI},
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 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.},
 bibtype = {book},
 author = {Zanchettin, C. and Ludermir, T.B.},
 doi = {10.1007/11564126_76}
}

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