Use BP Network to Retrieve Soil Moisture with Multiple Meterological Paramenters

摘要：

When there is not much information on how the interaction specifically works between multiple meteorological parameters and soil moisture, we tend to get help from artificial neural network (ANN), which has a great ability in function simulation. In creating a medium-sized BP network with some routine meteorological parameters as input variables and soil moisture the output, we find that the network could give a very good simulation with nearly an arbitrary precision in the phase of net construction, though validation results are not so satisfied as these trained, there is hope to get the network improved with a large number of samples and also farther exploration into the mechanism of these real relationships.

关键词： artificial neural network (ANN) BP network MA TLAB soil moisture meteorological parameters.

作者: YANG Na LIU Liangming XIANG Feng

作者单位: School of Remote Sensing and Information Engineering Wuhan University Wuhan,China Computer School of DONGHU College,Wuhan University Wuhan,China

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems(2009 IEEE 智能计算与智能系统国际会议)

会议地点: 上海

会议语种:英文

页码: 512-516

在线出版日期: 2009-11-20（万方平台首次上网日期，不代表论文的发表时间）