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| 基于GA-BP算法的土壤墒情预测 | |
| 引用本文： | 周志胜,汪德闯,孙红江,黄操军,田芳明.基于GA-BP算法的土壤墒情预测[J].黑龙江八一农垦大学学报,2009,21(5):73-75,104. |
| 作者姓名： | 周志胜 汪德闯 孙红江 黄操军 田芳明 |
| 作者单位： | 1. 黑龙江八一农垦大学信息技术学院,大庆,163319 2. 国家知识产权局专利审查协作中心 3. 黑龙江省红星农场 |
| 摘 要： | 利用遗传算法的全局寻优能力优化BP神经网络连接权值,建立基于GA-BP算法的土壤墒情预测模型具有绝对误差小和收敛速度快的优点,且避免了BP算法易陷入局部极小值的缺点,该模型预测的平均绝对误差为1.11%,具有较好的预测精度。 |
| 关 键 词： | 土壤墒情 GA-BP算法 预测模型 |
Forecast Soil Moisture Constent Based on GA-BP |
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| Zhou Zhisheng,Wang Dechuang,Sun Hongjiang,Huang Caojun,Tian Fangming.Forecast Soil Moisture Constent Based on GA-BP[J].Journal of Heilongjiang August First Land Reclamation University,2009,21(5):73-75,104. | |
| Authors: | Zhou Zhisheng Wang Dechuang Sun Hongjiang Huang Caojun Tian Fangming |
| Institution: | Zhou Zhisheng, Wang Dechuang, Sun Hongjiang, Huang Caojun, Tian Fangming (1. College of Information and Technology, Heilongjiang Bayi Agricultural University, Daqing 163319; 2.Patent Examination Cooperation Center of SIPO;3.Hongxing Farm in Heilongjiang Province ) |
| Abstract: | The initial weights of BP neural network were evolved by the characteristics of global opti-mization of Genetic Algorithm, established the soil moisture content prediction model based on GA-BP algorithm with the average absolute error and convergence speed advantages, avoiding the BP algorithm and easy to go to a partial the shortcomings of the minimum, the prediction mean square error was 1.11% and showed relatively high prediction precision. |
| Keywords: | soil moisture content ga-bp algorithm prediction mod |
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