Neural networks for the analysis of common mental disorders factors

Neural networks for the analysis of common mental disorders factors

The aim of this work is to analyse common mental disorders factors using a multilayer perceptron trained with simulated annealing algorithm. Simulated annealing is used for optimizing both the architecture and weights simultaneously, aiming the identification of the variables which have bigger proba...

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Bibliographische Detailangaben
Hauptverfasser: Lopes, C.R.S., Ludermir, T.B., de Souto, M.C.P., Ludermir, A.B.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Algorithm design and analysis
Analytical models
Artificial neural networks
Educational institutions
Logistics
Medical simulation
Mental disorders
Neural networks
Regression analysis
Simulated annealing
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Beschreibung
Zusammenfassung:The aim of this work is to analyse common mental disorders factors using a multilayer perceptron trained with simulated annealing algorithm. Simulated annealing is used for optimizing both the architecture and weights simultaneously, aiming the identification of the variables which have bigger probability to be related to the problem studied.
DOI:10.1109/SBRN.2002.1181448