A Novel Modified Simulated Annealing Algorithm and Big Data Sampling Analysis based Sports Effect Evaluation Mode

Abstract

Abstract. This paper proposes the novel modified simulated annealing algorithm and big data sampling analysis based sports effect evaluation model. Decision function structure and function to improve the structure as function training from the human body movement function, through the integration of sports quality and proprioception promote human body movement function exercise that is the practice logic function training. To deal with this issue, we integrate the machine learning models for systematic optimization. Simulated annealing in the optimization to determine initial temperature, random selection of an initial state and the state of the objective function value attach a small disturbance to the current state. While the model is based on probability statistics and that fuzzy mathematics is put forward the concept of qualitative and quantitative numerical transformation model, is the unity of the randomness and fuzziness. We prove the effectiveness of proposed method theoretically. In the future, numerical simulation will be added.