Comparative Analysis of Methods for Determination of Significance of Input Variables in Neural Network Modeling: Procedure of Comparison and its Application to Model Problemsстатья

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[1] Comparative analysis of methods for determination of significance of input variables in neural network modeling: Procedure of comparison and its application to model problems / A. G. Guzhva, S. A. Dolenko, I. G. Persiantsev, J. S. Shugai // 8th International Conference "Pattern Recognition and Image Analysis: New Information Technologies" (PRIA-8-2007): Conference Proceedings. — Vol. 2. — Yoshkar-Ola, 2007. — P. 29–32. Procedure of comparative analysis of methods for determination of significance of input variables in neural network solution of regression problem is considered. Variations of this procedure as applied to different methods are described. The suggested procedure is tested on a number of model problems. As the result of testing, the sequence of application of methods for analysis of significance of input variables when considering new problems is suggested.

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