APPLICATION OF THE GROUP METHOD OF DATA HANDLING IN SYNTHESIS OF SUPRVISED NEURAL NETWORKS | Zendy

Andrew V. Homich | Zendy; Leonid A. Zhukov | Zendy

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APPLICATION OF THE GROUP METHOD OF DATA HANDLING IN SYNTHESIS OF SUPRVISED NEURAL NETWORKS

Author(s) -

Andrew V. Homich,

Leonid A. Zhukov

Publication year - 2014

Publication title -

international journal of computing

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.184

H-Index - 11

eISSN - 2312-5381

pISSN - 1727-6209

DOI - 10.47839/ijc.5.1.380

Subject(s) - group method of data handling , artificial neural network , group (periodic table) , computer science , selection (genetic algorithm) , artificial intelligence , machine learning , data mining , chemistry , organic chemistry

The expediency of application of group method of data handling (GMDH) in synthesis supervised artificial neural networks is considered. Comparison of efficiency of two variants GMDH is carried out. Methods using entrance variables on everyone and only the first line of selection are considered. Efficiency of offered methods is estimated experimentally on practical problems.

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