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The essential aim of this research study is to represent the effects of goal setting also that feedback on motivation and performance in sports. This research study was based on primary data analysis to determine the research study used open- ended also closed-ended questions related to the variables. Goal setting is the main independent variable; the feedback is also independent of motivation and performance. Both represent the dependent variables. For measuring, the research study used SPSS software and generated informative selective results, including descriptive statistics, the one-way ANOVA test analysis, regression analysis, and model variance analysis, also that present the chi components analysis between them. The overall research study found that goal setting shows a positive effect on motivation and performance in sports. The feedback link positively and significantly to motivation and performance in sport. [ABSTRACT FROM AUTHOR]

The research on multilayer neural network theory has developed rapidly in recent years. It has parallel processing capabilities and fault tolerance and has aroused the interest of many researchers. The neural network has made great progress in the field of control, especially in model identification and control. It has been quickly applied in the fields of device design, optimized operation, and fault analysis and diagnosis. Neural network control, as an automated control technology in the 21st century, has been fully proved by theories and practices at home and abroad, and it is very useful in complex process control. Sports psychology is a discipline that studies the psychological characteristics and laws of people engaged in sports, and it is also a new development in sports science. The main task of sports psychology is to study people's psychological processes when participating in sports, such as feeling, perception, appearance, thinking, memory, emotion, and characteristics of will and its role and significance in sports. An important feature of multilayer neural networks is to achieve results that match the expected output through network learning. It has strong self-learning, self-adaptability, and fault tolerance. The multilayer neural network system evaluation method is unique with its extraordinary ability to deal with complex nonlinear problems and does not involve human intervention. This article presents a multilayer neural network algorithm, which classifies the samples of athletes, and studies the physical education training process, the psychological characteristics of related personnel in sports competitions, such as the psychological characteristics of the formation of sports skills, and the psychological training of athletes before the game. [ABSTRACT FROM AUTHOR]

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