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

^*Corresponding author for this work

Henan Agricultural University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Mechanical Engineering and Green Manufacturing II, MEGM 2012
Pages	1170-1174
Number of pages	5
DOIs	https://doi.org/10.4028/www.scientific.net/AMM.155-156.1170
Publication status	Published - 2012
Externally published	Yes
Event	2nd International Conference on Mechanical Engineering and Green Manufacturing, MEGM 2012 - Chongqing, China Duration: 16 Mar 2012 → 18 Mar 2012

Publication series

Name	Applied Mechanics and Materials
Volume	155-156
ISSN (Print)	1660-9336
ISSN (Electronic)	1662-7482

Conference

Conference	2nd International Conference on Mechanical Engineering and Green Manufacturing, MEGM 2012
Country/Territory	China
City	Chongqing
Period	16/03/12 → 18/03/12

Keywords

BP neural network
Number of agricultural pumps
Prediction

Access to Document

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

Cite this

@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. in Mechanical Engineering and Green Manufacturing II, MEGM 2012. Applied Mechanics and Materials, vol. 155-156, pp. 1170-1174, 2nd International Conference on Mechanical Engineering and Green Manufacturing, MEGM 2012, Chongqing, China, 16/03/12. https://doi.org/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. / Li, Jianwei; Wang, Xiushan; Tang, Yugui.
Mechanical Engineering and Green Manufacturing II, MEGM 2012. 2012. p. 1170-1174 (Applied Mechanics and Materials; Vol. 155-156).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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

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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

Abstract

Publication series

Conference

Keywords

Access to Document

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