Improving of Procedures for Preparing of Training Set for Neural Networks
American Journal of Neural Networks and Applications
Volume 1, Issue 1, August 2015, Pages: 29-32
Received: Jun. 14, 2015; Accepted: Jul. 28, 2015; Published: Aug. 1, 2015
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Authors
Veniamin B. Gitis, Intelligent Decision Support Systems Department, Faculty of Machine Automation and Information Technology, Donbass State Engineering Academy, Kramatorsk, Ukraine
Tatyana P. Gitis, Intelligent Decision Support Systems Department, Faculty of Machine Automation and Information Technology, Donbass State Engineering Academy, Kramatorsk, Ukraine
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Abstract
In the article procedure of rough-down of information is examined for teaching of neuron networks. Shown, that exists problem of normalization of ordinals of variables in part of their internal levels. The improved chart of normalization, allowing setting ponder ability both ordinal of variable on the whole and its separate levels, is offered to application. Reverse normalization formulas over are also brought for interpretation of gravimetric coefficients of neurons
Keywords
Neuron, Normalization, Ordinal Variable, Neural Network, Self-Organizing Maps
To cite this article
Veniamin B. Gitis, Tatyana P. Gitis, Improving of Procedures for Preparing of Training Set for Neural Networks, American Journal of Neural Networks and Applications. Vol. 1, No. 1, 2015, pp. 29-32. doi: 10.11648/j.ajnna.20150101.14
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