Open AccessAPPLICATION 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 -
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.