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中国农学通报

中国农学通报 ›› 2007, Vol. 23 ›› Issue (4): 404-404.

所属专题： 植物保护； 水稻

• 目次 • 上一篇    下一篇

集成GASA混合学习策略的BP神经网 络在水稻虫害预测中的应用

汪 璇,,吕家恪,,谢德体,魏朝富   

  • 出版日期:2007-04-05 发布日期:2007-04-05

Application of BP Networks Based on GASA Hybrid Strategy to Rices Pests Prediction

Wang Xuan,, Lv JiaKe,, Xie DeTi, Wei Chaofu   

  • Online:2007-04-05 Published:2007-04-05

PDF (PC)

614

摘要： 为改进受多变量、时变和不确定因素影响的作物虫情预测的效率和准确性，以重庆市永川区为研究区域，将1996－2004年的气象和虫害数据分为独立的训练和检验数据集，以研究集成GASA混合学习策略的BP神经网络应用于水稻虫情预测中的可行性。与广泛应用的时间序列分析法和传统BP神经网络相比，集成混合学习策略的BP神经网络预测精度和拟合性能都有了很大提高，因而具有较好的应用前景。

关键词: 户用沼气技术, 户用沼气技术, 转化, 制约因素, 对策

Abstract: To improve pests prediction efficiency and precision, Laifu town Yongchuan Chongqing was selected for the study. Local meteorological and pets data from 1996—2004 were divided into training and validation dataum sets, Rices prediciton applied by GASA-based BPNN was operated. Compared with general used time series and BP Neuron Network prediction, the accuracy achieved by GASA-based BPNN was much better.The potential ability of GASA-based BPNN was also discussed.

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