Simulation of operation of neural network with purpose of utilisation of hydraulic actuators in complicated technical conditions
作者机构：Department of TransportTransport Equipment and TechnologyL.N.Gumilyov Eurasian National UniversityAstana 010008Republic of Kazakhstan Faculty of JuridicalEconomical and Administrative SciencesSpiru Haret UniversityCraiova 030045Romania
出 版 物：《International Journal of Agricultural and Biological Engineering》 (国际农业与生物工程学报（英文）)
年 卷 期：2020年第13卷第1期
页 面：11-19页
核心收录：
学科分类：0710[理学-生物学] 0810[工学-信息与通信工程] 08[工学] 0805[工学-材料科学与工程（可授工学、理学学位）] 0812[工学-计算机科学与技术（可授工学、理学学位）]
主 题：equipment neural network complicated technical conditions functioning model economic efficiency
摘 要：Application of neural network technologies is becoming more extensive every year,especially in the economic *** methods are being discovered;new models of neural networks are being ***,the main application of neural networks in the economy is the prediction of markets,optimization of commodity-money flows,analysis and generalization of various social surveys,prediction of the dynamics of political ratings,optimization of the production process,comprehensive diagnostics of product quality,*** of the hydraulic equipment makes it possible to design systems of automatic operation in the conditions,where minimal human participation and maximum speed of response are *** is possible to state that such conditions exist in the regions with the permanent access of repair teams or technicians,who perform monitoring of the complex technical ***,it is necessary to develop automated systems of operation and monitoring of various equipment components,which are intended for operation in the complicated technical *** of this article have selected the hydraulic equipment as the object under investigation due to the fact that it is widely distributed equipment,as well as due to possibilities of this equipment to function or to be adapted for operation in practically any environmental *** the same time,quantity of the state-of-the-art equipment,which is used,as well as complexity of this equipment increase very quickly,therefore process of making decision concerning utilisation of this equipment must be made very *** analyse the sphere of automation,where utilisation of a human decision is *** novelty of this article is connected with the assumption that further direction of operation of such equipment in the complicated technical conditions must be implemented in the sphere of guessing of the user’s *** review neural networks as the toolkit,and they believe that these networ
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