Evaluation Method of Skilled Personnel Based on Factor Analysis and BP Neural Network

Abstract

Skilled talents are the core of any organization; They are the people who make or break the company. A successful enterprise depends on the skills and knowledge of its employees. Therefore, it is very important to select the right employees for your company. One of the most common ways to assess an individual’s skills and knowledge is through the Assessment Centre. However, this method has some disadvantages, such as time-consuming, difficult to evaluate specific skills, and methodical errors when using different methods to measure certain skills. The evaluate technicians, and determine the most effective method to select technicians. The goal is achieved by using model to analyze the data obtained from companies with high demand for employees with specific skills. Factor analysis was used to evaluate technicians according to age, education level, gender, experience and other factors. The skill level of personnel is determined by using Bp neural network. The results show that both methods can identify some suitable candidates, but there are differences between them.