DocumentCode
2070889
Title
A HRD Evaluation Method Based on BP Neural Network
Author
Feng, Dezhen ; Gao, Ying
Author_Institution
Sch. of Mech. Eng., Univ. of Jinan, Jinan, China
fYear
2009
fDate
26-28 Dec. 2009
Firstpage
309
Lastpage
312
Abstract
The human resource function is more important than ever before, it is becoming more strategic rather than merely administrative than it used to be. Human resource development is based on the beliefs that organizations are human-made entities that rely on human expertise in order to establish and achieve their goals. So Employee is the masses foundation and impetus for organization development and expansion. By analyze the effect factors of employee´s value, this paper establishes a more comprehensive evaluation model based on BP (Back Propagation) neural network. The performance evaluation shows that the results given by this model are reliable, and this method to evaluate employee performance is feasible. The study shows that the model can get the goal of human resource development with a rather high effectiveness.
Keywords
appraisal; backpropagation; human resource management; neural nets; personnel; BP neural network; HRD evaluation; Human resource development; employee performance; evaluation model; human resource function; human-made entities; masses foundation; organization development; performance evaluation; Engineering management; Ethics; Humans; Information science; Management training; Mechanical engineering; Neural networks; Performance analysis; Personnel; Production; BP Neural Network; Development; Evaluation Model; Human Resource;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Engineering (ISISE), 2009 Second International Symposium on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-6325-1
Electronic_ISBN
978-1-4244-6326-8
Type
conf
DOI
10.1109/ISISE.2009.55
Filename
5447209
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