Research and Application of Artificial Neural Network Technology in the Recognition Model of Employee Satisfaction

In a highly competitive industry, the phenomenon of brain drain is even more prominent. Many industries recognize the role of talents in the development of the industry. Attracting and retaining outstanding talents should improve employee job satisfaction and cultivate a sense of belonging to the "people-oriented" corporate culture. As a leader, you must constantly communicate with employees to understand their real needs. In many industries, the problem is how to complete the measurement of each employee's job satisfaction and improve the management of employee job satisfaction. This paper studies the application of artificial neural network technology in the employee satisfaction recognition model. After understanding employee satisfaction and artificial neural network based on relevant literature data, it proposes an employee satisfaction evaluation system based on artificial neural network technology, and design it, finally test the designed system. Through the test results, it is concluded that the neural network algorithm used by the system in this paper has a faster convergence speed. For the system usage evaluation, the overall usage evaluation of the system in this paper is better, 3 points the number of people accounted for more than 35%.