A Novel BP Neural Network for Forecasting Agriculture Water Consumption

机译：一种新型BP神经网络，用于预测农业用水量

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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).

机译：预测农业用水量是水资源配置的重要任务。为了预测农业用水量，本文提出了一种改进的BP神经网络。该方法采用了一种新的粒子群算法，用于培训BP的权重。实验结果表明，我们提出的方法IPSO-BP提供了比原始BP算法和基于遗传算法（GA-BP）的BP算法和BP更精确的预测能力。

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《International conference on signal and information processing》|2010年||共4页
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Lei Yang; Long Zhou;
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正文语种
中图分类信息处理（信息加工）;
关键词
agriculture waterconsumption; BPneural network; particle swarm optimization; forecast;

机译：农业水域;BPneural网络;粒子群优化;预测;

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A Novel BP Neural Network for Forecasting Agriculture Water Consumption

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