Proceedings of 2013 International Conference on Information Science and Computer Applications

University Teachers' Professional Title Evaluation Prediction Mode Based on LVQ Neural Network

Authors
Jigang Zhang, Na Liang
Corresponding Author
Jigang Zhang
Available Online October 2013.
DOI
https://doi.org/10.2991/isca-13.2013.18How to use a DOI?
Keywords
university teachers’ professional title evaluation. LVQ neural network
Abstract
At present, university teachers’ professional title evaluation is still mainly based on the qualitative analysis in our country, having their limitation, for example low efficiency, tedious process, complex operation and so on. On the basis of the Learning vector quantization neural network(LVQ), a new model for university teachers’ professional title evaluation is proposed. The paper has constructed the nonlinear mapping relationship between evaluation materials and promotion to evaluate university teachers’ professional title, using LVQ’s advantages of simple network structure, self- learning, self- organization, and nonlinear classification processing capacity. The experiment results show that the model is effective which gives a new way for the evaluation on university teachers’ professional title.
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Proceedings
2013 International Conference on Information Science and Computer Applications (ISCA 2013)
Part of series
Advances in Intelligent Systems Research
Publication Date
October 2013
ISBN
978-90786-77-85-7
DOI
https://doi.org/10.2991/isca-13.2013.18How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Jigang Zhang
AU  - Na Liang
PY  - 2013/10
DA  - 2013/10
TI  - University Teachers' Professional Title Evaluation Prediction Mode Based on LVQ Neural Network
BT  - 2013 International Conference on Information Science and Computer Applications (ISCA 2013)
PB  - Atlantis Press
UR  - https://doi.org/10.2991/isca-13.2013.18
DO  - https://doi.org/10.2991/isca-13.2013.18
ID  - Zhang2013/10
ER  -