A novel BP neural network for forecasting agriculture water consumption

Lei Yang; Long Zhou

doi:10.1117/12.913518

1 October 2011 A novel BP neural network for forecasting agriculture water consumption

Lei Yang, Long Zhou

Proceedings Volume 8285, International Conference on Graphic and Image Processing (ICGIP 2011); 828579 (2011) https://doi.org/10.1117/12.913518
Event: 2011 International Conference on Graphic and Image Processing, 2011, Cairo, Egypt

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).

Citation Download Citation

Lei Yang and Long Zhou "A novel BP neural network for forecasting agriculture water consumption", Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 828579 (1 October 2011); https://doi.org/10.1117/12.913518

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