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								  Analysis of Labour Resources of Enterprises by Self-Organizing Maps of Features 
									
										
											
											
												Veniamin B. Gitis,
											
										
											
											
												Tatyana P. Gitis
											
										
									 
 
									
										Issue:
										Volume 1, Issue 2, October 2015
									 
										Pages:
										33-38
									 
 
									Received:
										14 June 2015
									 Accepted:
										28 July 2015
									 Published:
										1 August 2015
									 
 
									Abstract: In the article possibility of application of maps of Kohonen is examined for the analysis of professional development of machine-operators of machine-building enterprises. It will allow to perfect the traditional going near the estimation of qualification of workers, and also to promote the motivational effect of evaluation procedures
									
								 
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								  Acoustic Monitoring with Neural Network Diagnostics 
									
										
											
											
												Sergiy V. Kovalevskyy,
											
										
											
											
												Olena S. Kovalevska
											
										
									 
 
									
										Issue:
										Volume 1, Issue 2, October 2015
									 
										Pages:
										39-42
									 
 
									Received:
										14 June 2015
									 Accepted:
										31 July 2015
									 Published:
										1 August 2015
									 
 
									
									
										Abstract: This paper aims at finding effective directions of perfection of non-destructive control for details of rotation bodies. Investigational influence of acoustic vibrations is on the exposure of defects. The developed methodology of experimental researches and conducted experimental researches are for the exposure of defects by means of gain-frequency characteristic of non-destructive method of control. The developed mathematical models for determining gain-frequency characteristic in order to find deviations from the set indexes of details. Practical recommendations in relation to application of non-destructive method of control using the gain-frequency characteristic in machine-building processes
										Abstract: This paper aims at finding effective directions of perfection of non-destructive control for details of rotation bodies. Investigational influence of acoustic vibrations is on the exposure of defects. The developed methodology of experimental researches and conducted experimental researches are for the exposure of defects by means of gain-frequency...
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								  Research the Corporate Culture of Students Using Neural Network Models 
									
										
											
											
												Sergiy V. Kovalevskyy,
											
										
											
											
												Ludmila V. Kosheva
											
										
									 
 
									
										Issue:
										Volume 1, Issue 2, October 2015
									 
										Pages:
										43-47
									 
 
									Received:
										14 June 2015
									 Accepted:
										31 July 2015
									 Published:
										1 August 2015
									 
 
									
									
										Abstract: The article contains the new materials reflecting application of neural network models in designing of innovative processes in pedagogic. Such approach, according to authors’ point of view, is actual because it is very important to provide quantitative estimations along with quality standards for management of pedagogical processes. They allow to reveal tendencies of innovative pedagogical approaches in education of new generation of young men, but also to correspond to their aspirations, supporting the positive of their socioeconomic influence in every possible way
										Abstract: The article contains the new materials reflecting application of neural network models in designing of innovative processes in pedagogic. Such approach, according to authors’ point of view, is actual because it is very important to provide quantitative estimations along with quality standards for management of pedagogical processes. They allow to r...
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								  Neural Network Study of the Effect of Corona Discharge Treatment on the Surfaces of Mechanical Engineering Products 
									
										
											
											
												Sergiy V. Kovalevskyy,
											
										
											
											
												Ivan N. Starodubcev
											
										
									 
 
									
										Issue:
										Volume 1, Issue 2, October 2015
									 
										Pages:
										48-51
									 
 
									Received:
										14 June 2015
									 Accepted:
										31 July 2015
									 Published:
										1 August 2015
									 
 
									Abstract: We suggest a method of surface saturation in the corona discharge, which is saturated with metal ions (tungsten, aluminum, copper, etc.), details of the surface layer due to the formation of carrier ions, namely the pinch corona discharge, which is being pulsed nature allows the process to flow in the air with self and with the help of surfactants