Application of BP neural network algorithm in visualization system of sports training management

When constructing the algorithm model of sports training action classification, accuracy classification has an important impact on model. How to improve needs further research. Based BP neural network algorithm, this paper carries out modeling signal and construction network, deduces in detail. Firstly, applies genetic initial parameter selection avoid local optimization problem. carrying chromosome coding, binary coding is easy cause problem too long string, which also be restored decoded. The runs learning not high. Therefore, uses real coding. Through simulation analysis, it can seen that improved significantly higher than simple algorithm. In addition, analyzes requirements management visualization system, introduces system structure framework topology, describes detail functions user information module, plan test competition module scientific research tests function system. Finally, problems existing current management, puts forward development strategy based this, lays a theoretical foundation for training.