Abstract
All enterprises gradually recognise the importance of employees’ healthy psychology to business activities in order to improve their own economic level and occupy a certain leading position in the economic market. The main factors affecting employees’ psychological health are used as input samples in this paper, and a network model of enterprise employees’ psychological health prediction based on DNN is developed. To form a specific set, the psychological health indicators are separated from the complex test items. The key influencing factors in psychological health assessment are chosen as input vectors, and the DNN algorithm’s output results are obtained, analysed, and compared. Following sample training, the artificial NN’s error between predicted and measured values is only 3.55 percent, achieving the desired effect. The DNN principle is used in this paper to create a mathematical prediction network model based on an analysis of psychological factors affecting employees in businesses. The calculation of the final result of the prediction system is simple and flexible when the parameters of the NN are changed, and the network model’s prediction efficiency and accuracy are greatly improved.
Highlights
The behaviour, psychology, and concept of employees are profoundly affected by intense work and fast-paced life in China, as a result of the continuous strengthening of social competition and the rapid development of the market economy [1]
The entire society must pay attention to social individuals’ psychological health problems, place a high value on, strengthen, and improve existing psychological health education methods and methods, and conduct psychological health education for people at all levels, including psychological concept, family life, work environment, and social culture, in order to promote the improvement of social individual psychological quality and enhance the harmony
This paper develops a mathematical prediction network model based on the deep neural network (DNN) principle and an analysis of the psychological factors affecting employees
Summary
The behaviour, psychology, and concept of employees are profoundly affected by intense work and fast-paced life in China, as a result of the continuous strengthening of social competition and the rapid development of the market economy [1]. Enterprises should pay attention to employees’ psychological health problems, adopt diversified working methods, improve employees’ psychological tolerance and anti frustration ability, ensure that enterprise safety production will not be affected by employees’ psychological health problems, and promote the high-quality development of enterprises [6]. The main factors affecting the psychological health of enterprise employees are taken as the input samples, the characteristic psychological health indicators are separated from the complex test items, and the network model of enterprise employees’ psychological health prediction system based on deep neural network (DNN) is established, so as to realize the prediction of enterprise employees’ psychological health. Based on the principle of DNN and the analysis of the psychological factors affecting employees, this paper establishes a mathematical prediction network model. This provides a good reference method for the study of the psychological health status of enterprise employees
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
