机电工程技术Issue(1)：57-60,81,5.DOI:10.3969/j.issn.1009-9492.2016.01.015
基于BP神经网络的锁模机构运行振动量的预测
Prediction of the Vibration of the Lock Mechanism Based on BP Neural Network
曾凡 1郑文 1李涉 1胡鉴源1
作者信息
- 1. 广州大学机械与电气工程学院，广东广州 510006
- 折叠
摘要
Abstract
This paper established an operating parameters optimization model of bottle blowing machine clamping mechanism by using BP neural network, including the determination of network model structure, the training of the network model, the verification of network model. Finally predict the vibration quantity under the optimal operation parameters combination by using the established BP neural network. Through with the actual test results, obtain the optimal operation parameters of clamping mechanism. It can save resources, reduce the production cost. So it has a certain guidance in practical production.关键词
BP神经网络/锁模机构/优化模型/振动量Key words
BP neural network/locking mechanism/optimization model/vibration分类
信息技术与安全科学引用本文复制引用
曾凡,郑文,李涉,胡鉴源..基于BP神经网络的锁模机构运行振动量的预测[J].机电工程技术,2016,(1):57-60,81,5.
