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

DOI

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.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of 2013 International Conference on Information Science and Computer Applications
PB  - Atlantis Press
SP  - 107
EP  - 110
SN  - 1951-6851
UR  - https://doi.org/10.2991/isca-13.2013.18
DO  - 10.2991/isca-13.2013.18
ID  - Zhang2013/10
ER  -