基于神经网络与遗传算法的斜盘发动机弹性联轴器优化设计

Aiming at the fact that the current method of designing elastic coupling in swashplate engine is deficient,and the vibration damping effect is inadequate,a new method for optimization design of coupling is put forward based on back propagation artificial neural network and genetic algorithm(BP-GA).F...

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Main Authors: 孔岩峰, 单晓亮, 张振山
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2011-01-01
Series:Jixie chuandong
Online Access:http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2011.08.004
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author 孔岩峰
单晓亮
张振山
author_facet 孔岩峰
单晓亮
张振山
author_sort 孔岩峰
collection DOAJ
description Aiming at the fact that the current method of designing elastic coupling in swashplate engine is deficient,and the vibration damping effect is inadequate,a new method for optimization design of coupling is put forward based on back propagation artificial neural network and genetic algorithm(BP-GA).Firstly the dynamics model of swashplate engine axis is set up,and the samples are gained by numerical simulation,then the non-linear mapping relationship of elastic coupling designed parameters of the objective function is established with BP neural network,finally the trained network is called back by GA to make global optimization.The optimization results show that the global optimum resolution can be searched rapidly and correctly with the method,besides,the method is precise,convenient and applicable.
format Article
id doaj-art-1c93ffffbb5e43919d0280572f17d02b
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issn 1004-2539
language zho
publishDate 2011-01-01
publisher Editorial Office of Journal of Mechanical Transmission
record_format Article
series Jixie chuandong
spelling doaj-art-1c93ffffbb5e43919d0280572f17d02b2025-08-20T01:53:08ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392011-01-0135495288658356基于神经网络与遗传算法的斜盘发动机弹性联轴器优化设计孔岩峰单晓亮张振山Aiming at the fact that the current method of designing elastic coupling in swashplate engine is deficient,and the vibration damping effect is inadequate,a new method for optimization design of coupling is put forward based on back propagation artificial neural network and genetic algorithm(BP-GA).Firstly the dynamics model of swashplate engine axis is set up,and the samples are gained by numerical simulation,then the non-linear mapping relationship of elastic coupling designed parameters of the objective function is established with BP neural network,finally the trained network is called back by GA to make global optimization.The optimization results show that the global optimum resolution can be searched rapidly and correctly with the method,besides,the method is precise,convenient and applicable.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2011.08.004
spellingShingle 孔岩峰
单晓亮
张振山
基于神经网络与遗传算法的斜盘发动机弹性联轴器优化设计
Jixie chuandong
title 基于神经网络与遗传算法的斜盘发动机弹性联轴器优化设计
title_full 基于神经网络与遗传算法的斜盘发动机弹性联轴器优化设计
title_fullStr 基于神经网络与遗传算法的斜盘发动机弹性联轴器优化设计
title_full_unstemmed 基于神经网络与遗传算法的斜盘发动机弹性联轴器优化设计
title_short 基于神经网络与遗传算法的斜盘发动机弹性联轴器优化设计
title_sort 基于神经网络与遗传算法的斜盘发动机弹性联轴器优化设计
url http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2011.08.004
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