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Structure identification of NN-ANARX model by genetic algorithm with combined cross-correlation-test based evaluation function

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4 Author(s)
Nomm, S. ; Control Syst. Dept., Tallinn Univ. of Technol., Tallinn, Estonia ; Vassiljeva, K. ; Belikov, J. ; Petlenkov, E.

Application of genetic algorithm to determine structure of Neural Networks based Additive Nonlinear eXogenous (NN-ANARX) model and if possible to simplify the architecture of corresponding neural network constitutes subject of present paper. In this paper, we construct a specific fitness function, which depends on mean square error, certain cross correlation coefficients and an order of the model.

Published in:

Control and Automation (ICCA), 2011 9th IEEE International Conference on

Date of Conference:

19-21 Dec. 2011