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The Application of Neural Network Model Based on Genetic Algorithm for Comprehensive Evaluation

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Book cover High Performance Networking, Computing, and Communication Systems (ICHCC 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 163))

Abstract

A neural network model is proposed for comprehensive evaluation, which the genetic algorithm can improve the weights of the neural network and enhance the training precision of the neural network. Then, the method is used in comprehensive evaluation. The experimental results show that the method is valid and feasible.

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Author information

Authors and Affiliations

  1. Beijng Key Lab of Intelligent Information Technology, School of Computer Science and Technology, Beijing Institute of Technology, Beijing, 100081, China

    Xin Sun, Jun Zheng, Yin Pang, Chengfeng Ye & Lei Zhang

  2. Beijing Institute of Tracking and Telecommunicaion Technology, Beijing, 100094, China

    Yin Pang

Authors
  1. Xin Sun
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  2. Jun Zheng
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  3. Yin Pang
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  4. Chengfeng Ye
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  5. Lei Zhang
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Editor information

Editors and Affiliations

  1. Huazhong Normal University, Luoyu Road 452, 430079, Wuhan, Hubei, China

    Yanwen Wu

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© 2011 Springer-Verlag Berlin Heidelberg

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Sun, X., Zheng, J., Pang, Y., Ye, C., Zhang, L. (2011). The Application of Neural Network Model Based on Genetic Algorithm for Comprehensive Evaluation. In: Wu, Y. (eds) High Performance Networking, Computing, and Communication Systems. ICHCC 2011. Communications in Computer and Information Science, vol 163. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25002-6_32

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  • DOI: https://doi.org/10.1007/978-3-642-25002-6_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25001-9

  • Online ISBN: 978-3-642-25002-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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