Prediction on number of agricultural pumps in Henan province of china based on BP neural network

Jianwei Li; Xiushan Wang; Yugui Tang

doi:10.4028/www.scientific.net/AMM.155-156.1170

Prediction on number of agricultural pumps in Henan province of china based on BP neural network

Jianwei Li^*, Xiushan Wang, Yugui Tang

^*此作品的通讯作者

Henan Agricultural University

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

To understanding future market conditions of agricultural pumps in Henan province, need to predict numbers of agricultural pumps at each year-end. Expatiated the principle of prediction based on BP neural network, and constructed the model of prediction. The BP neural network was trained with normalized statistical data of agricultural pumps in Henan province from 1990 to 2010, and gained parameters of the neural network. Test shows the model has high predictive precision. The average absolute value of predicted relative errors is 1.333%. Numbers of agricultural pumps at each year-end in Henan province of China from 2011 to 2015 were predicted, and the trend was also presented.

源语言	英语
主期刊名	Mechanical Engineering and Green Manufacturing II, MEGM 2012
页	1170-1174
页数	5
DOI	https://doi.org/10.4028/www.scientific.net/AMM.155-156.1170
出版状态	已出版 - 2012
已对外发布	是
活动	2nd International Conference on Mechanical Engineering and Green Manufacturing, MEGM 2012 - Chongqing, 中国期限: 16 3月 2012 → 18 3月 2012

出版系列

姓名	Applied Mechanics and Materials
卷	155-156
ISSN（印刷版）	1660-9336
ISSN（电子版）	1662-7482

会议

会议	2nd International Conference on Mechanical Engineering and Green Manufacturing, MEGM 2012
国家/地区	中国
市	Chongqing
时期	16/03/12 → 18/03/12

访问文件

10.4028/www.scientific.net/AMM.155-156.1170

其它文件与链接

链接到 Scopus 的出版物

引用此

@inproceedings{0a1e84b528d04157924c7c52b4648495,

title = "Prediction on number of agricultural pumps in Henan province of china based on BP neural network",

abstract = "To understanding future market conditions of agricultural pumps in Henan province, need to predict numbers of agricultural pumps at each year-end. Expatiated the principle of prediction based on BP neural network, and constructed the model of prediction. The BP neural network was trained with normalized statistical data of agricultural pumps in Henan province from 1990 to 2010, and gained parameters of the neural network. Test shows the model has high predictive precision. The average absolute value of predicted relative errors is 1.333%. Numbers of agricultural pumps at each year-end in Henan province of China from 2011 to 2015 were predicted, and the trend was also presented.",

keywords = "BP neural network, Number of agricultural pumps, Prediction",

author = "Jianwei Li and Xiushan Wang and Yugui Tang",

year = "2012",

doi = "10.4028/www.scientific.net/AMM.155-156.1170",

language = "English",

isbn = "9783037853771",

series = "Applied Mechanics and Materials",

pages = "1170--1174",

booktitle = "Mechanical Engineering and Green Manufacturing II, MEGM 2012",

note = "2nd International Conference on Mechanical Engineering and Green Manufacturing, MEGM 2012 ; Conference date: 16-03-2012 Through 18-03-2012",

}

Li, J, Wang, X & Tang, Y 2012, Prediction on number of agricultural pumps in Henan province of china based on BP neural network. 在 Mechanical Engineering and Green Manufacturing II, MEGM 2012. Applied Mechanics and Materials, 卷 155-156, 页码 1170-1174, 2nd International Conference on Mechanical Engineering and Green Manufacturing, MEGM 2012, Chongqing, 中国, 16/03/12. https://doi.org/10.4028/www.scientific.net/AMM.155-156.1170

TY - GEN

T1 - Prediction on number of agricultural pumps in Henan province of china based on BP neural network

AU - Li, Jianwei

AU - Wang, Xiushan

AU - Tang, Yugui

PY - 2012

Y1 - 2012

N2 - To understanding future market conditions of agricultural pumps in Henan province, need to predict numbers of agricultural pumps at each year-end. Expatiated the principle of prediction based on BP neural network, and constructed the model of prediction. The BP neural network was trained with normalized statistical data of agricultural pumps in Henan province from 1990 to 2010, and gained parameters of the neural network. Test shows the model has high predictive precision. The average absolute value of predicted relative errors is 1.333%. Numbers of agricultural pumps at each year-end in Henan province of China from 2011 to 2015 were predicted, and the trend was also presented.

AB - To understanding future market conditions of agricultural pumps in Henan province, need to predict numbers of agricultural pumps at each year-end. Expatiated the principle of prediction based on BP neural network, and constructed the model of prediction. The BP neural network was trained with normalized statistical data of agricultural pumps in Henan province from 1990 to 2010, and gained parameters of the neural network. Test shows the model has high predictive precision. The average absolute value of predicted relative errors is 1.333%. Numbers of agricultural pumps at each year-end in Henan province of China from 2011 to 2015 were predicted, and the trend was also presented.

KW - BP neural network

KW - Number of agricultural pumps

KW - Prediction

UR - http://www.scopus.com/inward/record.url?scp=84863287178&partnerID=8YFLogxK

U2 - 10.4028/www.scientific.net/AMM.155-156.1170

DO - 10.4028/www.scientific.net/AMM.155-156.1170

M3 - Conference contribution

AN - SCOPUS:84863287178

SN - 9783037853771

T3 - Applied Mechanics and Materials

SP - 1170

EP - 1174

BT - Mechanical Engineering and Green Manufacturing II, MEGM 2012

T2 - 2nd International Conference on Mechanical Engineering and Green Manufacturing, MEGM 2012

Y2 - 16 March 2012 through 18 March 2012

ER -

Prediction on number of agricultural pumps in Henan province of china based on BP neural network

摘要

出版系列

会议

访问文件

其它文件与链接

指纹

引用此