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Evaluation Method of Scientific Research Projects Based on the Neural Networks

In: Liss 2013

Author

Listed:
  • Xiaohui Hou

    (Beijing Jiaotong University)

  • Lei Huang

    (Beijing Jiaotong University)

  • Xuefei Li

    (Beijing Jiaotong University)

Abstract

The scientific research projects are evaluated by using the neural networks in this paper. The evaluation index system of scientific research projects is set up, and based on it, BP neural network model and linear neural network model are established to evaluate the scientific research projects. The Matlab software is used to set the parameters, to solve the two models which are built and by calculating an example, we get the objective evaluation results and then compare the results of these two different neural networks. The result shows that the two neural networks models which we set up have high accuracy and will promote the objective and efficient development of evaluation research of scientific research projects in China.

Suggested Citation

  • Xiaohui Hou & Lei Huang & Xuefei Li, 2015. "Evaluation Method of Scientific Research Projects Based on the Neural Networks," Springer Books, in: Runtong Zhang & Zhenji Zhang & Kecheng Liu & Juliang Zhang (ed.), Liss 2013, pages 489-496, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-40660-7_72
    DOI: 10.1007/978-3-642-40660-7_72
    as

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