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| 神经网络技术在织机生产状况预测中的应用 | |
| 引用本文： | 宋宏伟,冯秀彦,刘旭宁,张丽娟,杨 昊.神经网络技术在织机生产状况预测中的应用[J].河北科技大学学报,2011,32(3):273-276. |
| 作者姓名： | 宋宏伟 冯秀彦 刘旭宁 张丽娟 杨 昊 |
| 作者单位： | 1. 石家庄学院计算机系,河北石家庄,050035 2. 石家庄职业技术学院信息工程系,河北石家庄,050081 3. 南京师范大学计算机科学与技术学院,江苏南京,210046 |
| 摘 要： | 为提高织机生产效率,研究了基于优化神经网络的织机生产运转状况预测方法.针对BP网络模型的缺点,在反复实验的基础上对BP网络参数、算法进行改进,建立了织机生产运转状况预测模型,并与传统的BP神经网络预测方法进行比较.实验结果表明,利用改进的BP神经网络预测织机生产运转状况时,网络收敛速度快,预测精度高,优于传统的BP网络... |
| 关 键 词： | BP神经网络 织机生产状况 改进 预测 |
| 收稿时间： | 2010/12/10 0:00:00 |
| 修稿时间： | 2011/1/18 0:00:00 |
Application of artificial neural network to prediction of loom production |
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| SONG Hong-wei,FENG Xiu-yan,LIU Xu-ning,ZHANG Li-juan and YANG Hao.Application of artificial neural network to prediction of loom production[J].Journal of Hebei University of Science and Technology,2011,32(3):273-276. | |
| Authors: | SONG Hong-wei FENG Xiu-yan LIU Xu-ning ZHANG Li-juan and YANG Hao |
| Institution: | 1.Department of Computer,Shijiazhuang College,Shijiazhuang Hebei 050035,China;2.Department of Information Engineering,Shijiazhuang Vocational Technology Institute,Shijiazhuang Hebei 050081,China;3.Institute of Computer Science and Technology,Nanjing Normal University,Nanjing Jiangsu 210046,China) |
| Abstract: | In order to forcast loom production operation,optimize the parameters of loom production,and then improve the efficiency,we studied the prediction of loom production based on the optimized neural network.In light of the disadvantages of traditional BP network the network parameters and algorithm is improved to make prediction model of loom production.Results show that improved BP neural network has high convergence speed and high forecast accuracy,helps accurately set production parameters and ensures normal operation of looms. |
| Keywords: | BP neural networks loom production optimization prediction |
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