Simulation and Analysis of Soil Water Dynamic Change Based on Least Square Support Vector Machine
Yongqiang Zhang · Bulletin of Soil and Water Conservation · 2009
Soil water dynamic change is significant to water cycle research and agricultural production.The least square support vector machine and the meteorological factors were used to train,test,and simulate soil water dynamic change in red soil region.Results showed that the least square support vector machine had more reliabilities and advantages of simulation performance and mathematical meaning than the neural networks.Therefore,soil water dynamic change was simulated by the least square support vector machine and its trend was extracted by bior 3.3 with five layers of wavelet decomposition.The trend of soil water dynamic change can be divided into four stages which can provide a scientific basis for the water utilization and soil moisture prediction in the study region.