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An Evaluation Model on Employee Performance Based on Improved BP Neural Network

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2 Author(s)
Shaomei Yang ; Econ. & Manage. Dept., North China Electr. Power Univ., Baoding ; Qian Zhu

Employee is the masses foundation and impetus for organization development and expansion, through understanding and evaluating employee correctly, the enterprise not only can impel employee effectively, but also can guarantee the organization rapid and sustainable development. To address the problem about index established and reasonable quantified during the employee performance evaluation, this paper establishes the more comprehensive evaluation index system including capacity, character and knowledge, and describes the evaluating mechanism based on improved BP neural network. The performance evaluation of 10 employees in a certain enterprise shows that the results given by this model are reliable, and this method to evaluate employee performance is feasible.

Published in:

Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on

Date of Conference:

12-14 Oct. 2008