Abstract Since China’s reform and opening up, the market economy is accelerating the pace with the reform and it has achieved fruitful results. The economy of the country is to promote the management of state-owned market economy and has made great achievements. The study of economies is the normal development process in the study of economic management. The economic... Since China’s reform and opening up, the market economy is accelerating the pace with the reform and it has achieved fruitful results. The economy of the country is to promote the management of state-owned market economy and has made great achievements. The study of economies is the normal development process in the study of economic management. The economic management correctly or not directly affects the economy of various aspects function and in the current global economic integration trend, finding how to measure the better economic management is an very important topic. In this study, we firstly analyze the current development status. Then we discuss the relevant theoretical basis and technology development in this paper. The basis of artificial intelligence has established the new economic management control system which we studied. Then through the actual case of the system we carry out the experiment, and the experiment results are analyzed, so as to verify the feasibility and effectiveness of the new system. And ultimately it proves that the new system can better perform to economic management than the traditional system, and this study is very meaningful. Read More Read Less

Abstract As an important part of school physical education, the physical education teaching evaluation plays a more and more important role in the current school physical education system. Therefore, how to establish a more reasonable evaluation model of physical education teaching is very important. In the study, first of all, the current situation of development of the problem was investigated and... As an important part of school physical education, the physical education teaching evaluation plays a more and more important role in the current school physical education system. Therefore, how to establish a more reasonable evaluation model of physical education teaching is very important. In the study, first of all, the current situation of development of the problem was investigated and understood, then the sports teaching appraisal theory was carried on the analysis, and at the same time, the current problems of sports teaching evaluation were researched. The specific content of the evaluation mode of physical education teaching was studied. Finally, the artificial intelligence was introduced based on the theory, and the evaluation model of physical education teaching was established based on artificial intelligence. In the end of the research, the new evaluation system experiments were carried out through specific examples, and the experimental results were analyzed by statistical methods. The final result proves the feasibility and advantage of the new mode of evaluation, and confirms that the research is successful and meaningful. Read More Read Less

Abstract In order to overcome the problem that the existing scheme is difficult to adapt to the network link additions and deletions to the situation, this paper proposes a link fault localization scheme based on tree decomposition. Firstly, a multi degree lossless image segmentation algorithm is proposed to divide the network into several independent sub networks. Secondly, the maximum width priority... In order to overcome the problem that the existing scheme is difficult to adapt to the network link additions and deletions to the situation, this paper proposes a link fault localization scheme based on tree decomposition. Firstly, a multi degree lossless image segmentation algorithm is proposed to divide the network into several independent sub networks. Secondly, the maximum width priority tree decomposition algorithm is proposed to generate multi loop in the sub graph. The average number of links and the total delay of the proposed algorithm are better than that of the genetic algorithm. Experiments show that the number of indicators such as static flows in the schema needed to be sent to the table and detection information needed to be sent to detect link faults is superior than existing programs. Read More Read Less