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Proceedings Paper

A novel BP neural network for forecasting agriculture water consumption
Author(s): Lei Yang; Long Zhou
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Paper Abstract

Forecasting agriculture water consumption is an important task in configuration of water resources. In order to forecast agriculture water consumption, this paper presents an improved BP neural network. The proposed approach employs a novel particle swarm algorithm for training weights in BP. Experimental results show that our proposed method IPSO-BP provides more accurate prediction ability than original BP algorithm and BP based on genetic algorithm (GA-BP).

Paper Details

Date Published: 1 October 2011
PDF: 6 pages
Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 828579 (1 October 2011); doi: 10.1117/12.913518
Show Author Affiliations
Lei Yang, Wuhan Polytechnic Univ. (China)
Long Zhou, Wuhan Polytechnic Univ. (China)

Published in SPIE Proceedings Vol. 8285:
International Conference on Graphic and Image Processing (ICGIP 2011)
Yi Xie; Yanjun Zheng, Editor(s)

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