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Research on Evaluation of Laboratories in Independent Institutes Based on the Elman Neural Network

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Education Management, Education Theory and Education Application

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 109))

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Abstract

Through the research on the status of laboratory evaluation system in college, this paper drafts an evaluation system which is applicable to the characteristics of labs development. It also introduces the architecture of the Elman neural network and study process. Taking a certain Independent Institutes for example, it uses the Elman neural network to the evaluation of the labs’ assessment. The conclusion shows that the system is applicability and easy to operate. So we believe it should be used and popularizes in college.

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References

  1. Liu, Y.: Western Evaluation Modal of Education Quality and Its Development Trend. Journal of Yangzhou University (Higher Education Study Edition) 10(3), 19–21 (2006)

    Google Scholar 

  2. Lv, Y., Cui, G.: Practice and Thinking about Evaluation on Laboratories of Fundamental Course at Institution of Higher Education. China Higher Medical Education (2), 43–44 (2000) (in Chinese)

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  3. Cai, Q., Chen, R.: Application of Grey Classification Method in the Evaluation of Laboratory Work. Journal of Kunming University of Science and Technology 21(4), 104–110 (1996) (in Chinese)

    MathSciNet  Google Scholar 

  4. Pu, D.: A New Method of Fuzzy Comprehensive Evaluation and Its Application in Evaluating Laboratory. Journal of Southwest Jiaotong University 34(3), 354–359 (1999) (in Chinese)

    Google Scholar 

  5. Hansen, L.K., Salamon, P.: Neural Network Ensembles. IEEE Trans. Pattern Analysis and Machine Intelligence 12(10), 993–1001 (1990)

    Article  Google Scholar 

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© 2011 Springer-Verlag Berlin Heidelberg

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Jiang, Y., He, C., Ding, J. (2011). Research on Evaluation of Laboratories in Independent Institutes Based on the Elman Neural Network. In: Wang, Y. (eds) Education Management, Education Theory and Education Application. Advances in Intelligent and Soft Computing, vol 109. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24772-9_6

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  • DOI: https://doi.org/10.1007/978-3-642-24772-9_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24771-2

  • Online ISBN: 978-3-642-24772-9

  • eBook Packages: EngineeringEngineering (R0)

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