Evaluation Method of Scientific Research Projects Based on the Neural Networks

Xiaohui Hou (), Lei Huang () and Xuefei Li ()
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Xiaohui Hou: Beijing Jiaotong University
Lei Huang: Beijing Jiaotong University
Xuefei Li: Beijing Jiaotong University

A chapter in LISS 2013, 2015, pp 489-496 from Springer

Abstract: 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.

Keywords: Back propagation neural network; Linear neural network; Scientific research projects; Evaluation; Index system (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-40660-7_72

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DOI: 10.1007/978-3-642-40660-7_72

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