DocumentCode :
3457148
Title :
An Evaluation Model on Employee Performance Based on Improved BP Neural Network
Author :
Yang, Shaomei ; Qian Zhu
Author_Institution :
Econ. & Manage. Dept., North China Electr. Power Univ., Baoding
fYear :
2008
fDate :
12-14 Oct. 2008
Firstpage :
1
Lastpage :
4
Abstract :
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.
Keywords :
backpropagation; neural nets; organic-inorganic hybrid materials; personnel; sustainable development; BP neural network; employee performance; evaluation index system; evaluation model; organization development; sustainable development; Educational institutions; Energy management; Ethics; Finance; Financial management; Law; Neural networks; Power generation economics; Production; Sustainable development;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-2107-7
Electronic_ISBN :
978-1-4244-2108-4
Type :
conf
DOI :
10.1109/WiCom.2008.1728
Filename :
4679917
Link To Document :
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