Study on the Quality Analysis and Improvement of Tennis Teaching under the Internet System

Improving the quality of tennis teaching and learning is an important part modernization education in China. The limitations traditional evaluation methods have made them controversial, it crucial to improve scientific, rational, timely tenn quality. Therefore, necessary establish a scientific rational model for evaluate education. Based on principle constructing perfect system, this paper analyzes advantages disadvantages previous summarizes problems existing current system university. On basis, break university, based genetic algorithm (GA) back-propagation (BP) neural network proposed more reasonable system. results BP optimization method adaptive mutation are very satisfactory.