Optimization Analysis of The Prediction Algorithm for the Success Rate of Personnel Cooperation in Volleyball Matches

Lin Chen

Railway Police College, Zhengzhou, 450000, China

Abstract: The success rate prediction algorithm before optimization is too complex in the coding process. In order to reduce the complexity of the prediction algorithm, the success rate prediction algorithm of personnel cooperation in volleyball matches is optimized. Quadtree coding structure is adopted and error measurement factor is introduced to reduce the error of prediction data. In the process of rendering the prediction data, the hierarchical tree is re-planned and each factor is recursively subdivided until all the factor errors can meet the conditions of the prediction algorithm, so as to realize the optimization of the success rate prediction algorithm. Experimental results show that the data error value of the optimized success rate prediction algorithm is more accurate, and it has obvious advantages over the unoptimized success rate algorithm in various tests.

Keywords: Prediction error; Control range; Forecast data; Index identification