The state vigorously develops the application of community sports and takes it as an important unit of social and economic development. With the development of the economy, residents’ living standards are getting better, which also greatly promotes the development of community public sports. Community public sports have made great progress in terms of scale, hardware, and services, and their impact on society is getting worse. Come bigger. However, there are still some deficiencies in the development of community sports. How to accurately evaluate and predict its facilities, construction, and service levels and put forward corresponding development strategies is an urgent problem to be solved in the field of community public sports. In this paper, an iterative simulated annealing algorithm is proposed to evaluate the level of public sports services and help community public sports institutions identify their own development deficiencies. Through the simulation analysis of the community sports organizations, community members, venue facilities and funds, venue facilities and funds, administrators, and the community sports activities, it is found that the identification accuracy of the evaluation results of the five indicators is above 95%, while the initial threshold of community public sports and social and economic development and the prediction accuracy required by the standard of development status are both 10%. At the same time, the recognition time of the evaluation results in the five indicators is less than 7 seconds. In community public sports development trend prediction and service level judgment, the identification time of the evaluation result is less than 4 seconds, and the overall judgment result is better.

This paper constructs the indicator system for evaluating eco-innovation, and studies the eco-innovation performance of 30 provinces in China in 2009 by the factor analysis method, and makes a comparison analysis with the situation of three northeastern provinces. The result shows: innovative strength, technical environment and the degree of environment protection are the key factors influencing eco-innovation performance, the innovative strength of Liaoning province is the greatest in three northeastern provinces, but it's at greater expense of environment; Heilongjiang Province has better environment for technology development, but innovative strength is weak; Jilin province has no advantage in these three factors

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The successful physical education teaching mode is a new teaching mode used in physical under the traditional physical education teaching mode, which is formed and developed from the teaching reform of physical education in recent years. Under the background of The Times, the new educational mode conforms to the trend of The Times and is conducive to the benign development of education. Compared with the traditional physical education teaching mode, the students of the successful physical education teaching mode have a stronger sense of experience. This strong sense of participation and experience can not only improve students’ love for sports but also have a positive impact on the development of students’ mental health and also free the cultivation of students’ personality. Deep learning (DL) is a type of pattern analysis method in machine learning algorithms, which solves many complex pattern recognition problems, and has achieved many results in the fields of search technology. In this paper, by constructing a deep learning model, the model is applied to the application research of the successful physical education teaching mode in basketball teaching, and the effect of the successful physical education teaching mode in actual teaching is obtained through comparative experiments. According to the experimental results, the successful physical education teaching mode has a more significant effect on the teaching of students’ basketball skills, and according to the experiment, when the number of fine-tuning is 180, the correct rate is the highest at this time, which is 85%. When the number of hidden layer nodes is 180, the highest accuracy rate is 85.6%, and according to the experiments on the classification results, it is concluded that the model has a high degree of matching with the application research of the successful physical education model in basketball teaching.

This paper mainly studies the concept of state-owned bank's risk and risk management, the state-owned Banks' risk types and western state-owned banks risk management theory. Through the observation of the state-owned Banks risk management status qua in our country at present stage analysis, find out the problems that exist in the state-owned Banks' risk management at the present stage in China and the insufficiency, in the understanding of problems gradually put forward the corresponding improvement to our country state-owned Banks' risk management methods and countermeasures.