Establishment and Application of Forecast Model of Water Resources Shortage Based on SVM
LI Chuan-gan · Water Resources and Power · 2015
The lack of water resource is increasingly serious in recent years.Taking advantage of the priority of SVM in solving small samples,nonlinear and high dimensional pattern recognition,this paper establishes the influencing factor identification model and forecast model of water shortage based on support vector machine(SVM).Taking Beijing City for an example,the influencing factor of water resource shortage is identified and its sensitivity is analyzed.And then it forecasts the water resources deficit of Beijing City in the next five years.Based on the forecast results,some suggestions are put forward to solve the water shortage of Beijing City.