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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lina Wang Qianshan Gao |
| Copyright Year | 2011 |
| Description | Author affiliation: Shanghai Lixin University of Commerce, School of business management, China (Lina Wang) || Shanghai Lixin University of Commerce, School of accounting and financial management, China (Qianshan Gao) |
| Abstract | After a full study on the factors that affect the selection of CEO, this article has built a scientific criterion to select CEO by using the BP neural networks. Based on BP neural network, The CEO selection mechanism has solved the contradictory problems between the assumption and realities of logistic econometric model. It not only improves the quality of simulation results, but also helps companies to grasp the opportunity to change the poor CEO and identify the appropriate CEO. |
| Starting Page | 236 |
| Ending Page | 239 |
| File Size | 184956 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781457705359 |
| e-ISBN | 9781457705366 |
| DOI | 10.1109/AIMSEC.2011.6010300 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-08-08 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Training Industries BP neural network Neurons Mechanism design Companies Corporate performance Mathematical model Biological neural networks CEO selection |
| Content Type | Text |
| Resource Type | Article |
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