Source: Lecture Notes in Computer Science. Conference titles: International Conference - ICONIP 2008. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
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ROSSI, André L. D. e SOARES, Carlos e CARVALHO, André Carlos Ponce de Leon Ferreira de. Bioinspired parameter tuning of MLP networks for gene expression analysis: quality of fitness estimates vs. number of solutions analysed. Lecture Notes in Computer Science. Heidelberg: Springer. Disponível em: http://www.springerlink.com/content/y773013424501412. Acesso em: 06 out. 2024. , 2009APA
Rossi, A. L. D., Soares, C., & Carvalho, A. C. P. de L. F. de. (2009). Bioinspired parameter tuning of MLP networks for gene expression analysis: quality of fitness estimates vs. number of solutions analysed. Lecture Notes in Computer Science. Heidelberg: Springer. Recuperado de http://www.springerlink.com/content/y773013424501412NLM
Rossi ALD, Soares C, Carvalho ACP de LF de. Bioinspired parameter tuning of MLP networks for gene expression analysis: quality of fitness estimates vs. number of solutions analysed [Internet]. Lecture Notes in Computer Science. 2009 ; 5507 252-259.[citado 2024 out. 06 ] Available from: http://www.springerlink.com/content/y773013424501412Vancouver
Rossi ALD, Soares C, Carvalho ACP de LF de. Bioinspired parameter tuning of MLP networks for gene expression analysis: quality of fitness estimates vs. number of solutions analysed [Internet]. Lecture Notes in Computer Science. 2009 ; 5507 252-259.[citado 2024 out. 06 ] Available from: http://www.springerlink.com/content/y773013424501412