Research of Groundwater Environment Early Warning Based on Intelligent Algorithm

According to the need for groundwater health evaluation and its non-linear computation difficulty, on the basis of the problem effectively solved by Intelligent algorithm, this paper focused on analyzing calculation principle and characteristics about the BP neural network and support vector machine algorithm in groundwater health prediction model, designed the calculation model of support vector machine based on multi-level classifier, rough set theory was introduced to support vector machine calculation process optimization. It solved complex non-linear relationship between the small sample and groundwater health degreed, and speeded up the convergence speed, effectively improved the prediction accuracy and stability.