Abstract
This paper shows that MLP trained with the optimizing Simulated Annealing algorithm, may be used for identification of the factors related to Common Mental Disorders (CMDs). The average percentage of correct classification of individuals with positive diagnostic for the CMDs was of 90.6% in the experiments related in the paper.
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© 2005 Springer-Verlag Berlin Heidelberg
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Ludermir, T.B., Lopes, C.R.S., Ludermir, A.B., de Souto, M.C.P. (2005). Neural Network Use for the Identification of Factors Related to Common Mental Disorders. In: Duch, W., Kacprzyk, J., Oja, E., Zadrożny, S. (eds) Artificial Neural Networks: Biological Inspirations – ICANN 2005. ICANN 2005. Lecture Notes in Computer Science, vol 3696. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11550822_101
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DOI: https://doi.org/10.1007/11550822_101
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28752-0
Online ISBN: 978-3-540-28754-4
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