Prediction on Number of Agricultural Pumps in Henan Province of China Based on BP Neural Network

Jian Wei Li; Xiu Shan Wang; Yu Gui Tang

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

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Braking Performance Study for Automobile with Numerical Simulation
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 155-156Prediction on Number of Agricultural Pumps in...

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.

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Periodical:

Applied Mechanics and Materials (Volumes 155-156)

Pages:

1170-1174

DOI:

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

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Online since:

February 2012

Authors:

Jian Wei Li, Xiu Shan Wang, Yu Gui Tang

Keywords:

BP Neural Network (BPNN), Number of Agricultural Pumps, Prediction

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