Energy-saving Technologies and Research I Using Neural Network Models
American Journal of Neural Networks and Applications
Volume 1, Issue 1, August 2015, Pages: 23-28
Received: Jun. 14, 2015; Accepted: Jul. 28, 2015; Published: Jul. 29, 2015
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Authors
Sergiy V. Kovalevskyy, Donbas State Engineering Academy, Faculty of integrated technology and equipment, Kramatorsk, Ukraine
Ekaterina A. Zavgorodnyaya, Donbas State Engineering Academy, Faculty of integrated technology and equipment, Kramatorsk, Ukraine
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Abstract
In article he results of researches in different aspects of surface treatment are submitted. New type of the process of stabilization of residual pressure is considered. Also new ways of hardening of details are investigated and compared. The problem of new tools and the question of its more effective using are considered. The way of neural network modeling for data processing was used for in all experiments
Keywords
Surface-active Substance, Residual Stress, Electropulse Processing, Burnishing, Neural Network, Hardening, Self-propagating High-temperature Synthesis, Nonresharpened Replaceable Many-sided Plate (Nrp), Cutting Tool
To cite this article
Sergiy V. Kovalevskyy, Ekaterina A. Zavgorodnyaya, Energy-saving Technologies and Research I Using Neural Network Models, American Journal of Neural Networks and Applications. Vol. 1, No. 1, 2015, pp. 23-28. doi: 10.11648/j.ajnna.20150101.13
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