Prediction Method of College Students’ Psychological Pressure Based on Deep Neural Network

Aiming at the problems of low prediction accuracy and efficiency and poor prediction effect in the current psychological pressure prediction methods, a psychological pressure prediction method for college students based on deep neural network is proposed. The structure and algorithm of depth neural network and gray theory model are analyzed. Using the deep neural network, this paper establishes the sample set data of college students’ psychological pressure prediction and constructs the college students’ psychological pressure prediction model combined with the deep neural network algorithm of gray theory. The physical network information model is formed through the relationship between neurons. According to the dynamic changes of college students’ psychological pressure in each neuron of the physical network, the prediction of college students’ psychological pressure is completed. The experimental results show that the proposed method is effective in predicting college students’ psychological pressure and can effectively improve the accuracy and efficiency of college students’ psychological pressure prediction.

Basketball Sports Injury Prediction Model Based on the Grey Theory Neural Network

Sports injuries will have an impact on the consistency and systemicity of the training process, as well as athlete training and performance improvement. Many talented athletes have had their careers cut short due to sports injuries. Preventing sports injuries is the best way for basketball players to reduce sports injuries. Many coaches and athletes on sports teams, on the other hand, are unaware of the importance of sports injury prevention. They only realize that the body’s sports functions are abnormal when it suffers from sports injuries. As a result, this paper proposes a gray theory neural network-based athlete injury prediction model. First, from the standpoint of a single model, the improved unequal interval model is used to predict sports injury by optimizing the unequal interval model in gray theory. The findings show that it is a good predictor of sports injuries, but it is a poor predictor of the average number of injuries. Following that, in order to overcome the shortcomings of a single model, a gray neural network combination model was used. A combination model of the unequal time interval model and BP neural network was determined and established. The prediction effect is significantly improved by combining the gray neural network mapping model and the coupling model to predict the two characteristics of sports injuries. Finally, simulation experiments show that the proposed method is effective.

Mis recuerdos de Julia Iribarne

El autor evoca sus encuentros con Julia Iribarne, y las conversaciones y motivaciones intelectuales que de ellos se siguieron. Apunta su impresión de que el pensamiento de Husserl confirió una hondura más humana y entrañable a la reflexión de Julia Iribarne. En su caso, el verde de la vida no sufrió menoscabo por el gris de la teoría.The author recalls his encounters with Julia Iribarne, and the talks and intellectual motivations that followed them. He mentions the impression that Husserl’s thought gave a more human depth to Julia Iribarne´s reflections. The green of life suffered by her no prejudice from a gray theory.

Cross-provincial Cross-region Power Trading Optimization Modeling

Background: China's power resources are unevenly distributed in geography, and the supply-demand imbalance becomes worse due to regional economic disparities. It is essential to optimize the allocation of power resources through cross-provincial and cross-regional power trading. Methods: This paper uses load forecasting, transaction subject data declaration, and route optimization models to achieve optimal allocation of electricity and power resources cross-provincial and cross-regional and maximize social benefits. Gray theory is used to predict the medium and longterm loads, while multi-agent technology is used to report the power trading price. Results: Cross-provincial and cross-regional power trading become a network flow problem, through which we can find the optimized complete trading paths. Conclusion: Numerical case study results has verified the efficiency of the proposed method in optimizing power allocation across provinces and regions.

Evaluation Model and Enhancement Strategies for Teaching Reform Capacity of Art Courses in Higher Vocational Colleges

In higher vocational colleges, the teaching reform of art courses faces complex problems, namely, the evaluation system is imperfect, and the evaluation model involves complex calculations. To solve these problems, this paper strives to enhance the teaching reform capacity of art courses in higher vocational colleges. Firstly, the factors affecting the said teaching reform were identified. Next, an index system was established to evaluate the teaching reform capacity. The index system was integrated with the gray theory into an evaluation model of the teaching reform capacity. Based on the evaluation results, several strategies were put forward to enhance the teaching reform capacity. The research results provide a good reference for higher vocational colleges to reform the teaching of art courses.

Research on the Method of Power Grid Equipment Material Price Forecast Based on Grey Theory

The purchase cost of equipment and materials occupies a large proportion in the cost of power grid technical renovation and overhaul projects, and has a greater impact on project cost control. Therefore, improving the scientificity of equipment and material price forecasting methods is of great significance for controlling the cost of technical renovation and overhaul projects. This article takes the tower Q345 as the research object, and builds a prediction model based on gray theory based on the analysis of the company’s current tower price prediction methods and prediction effects. Through empirical verification, the model can effectively improve the accuracy of equipment material price prediction.