An Effective Method to Evaluate the Scientific Research Projects

• Autorzy: Hou, X. , Huang, L. , Li, X.
• Języki publikacji: EN

Abstrakty

EN

The evaluation of the scientific research projects is an important procedure before the scientific research projects are approved. The BP neural network and linear neural network are adopted to evaluate the scientific research projects in this paper. The evaluation index system with 12 indexes is set up. The basic principle of the neural network is analyzed and then the BP neural network and linear neural network models are constructed and the output error function of the neural networks is introduced. The Matlab software is applied to set the parameters and calculate the neural networks. By computing a real-world example, the evaluation results of the scientific research projects are obtained and the results of the BP neural network, linear neural network and linear regression forecasting are compared. The analysis shows that the BP neural network has higher efficiency than the linear neural network and linear regression forecasting in the evaluation of the scientific research projects problem. The method proposed in this paper is an effective method to evaluate the scientific research projects.

Słowa kluczowe

EN

effective method; evaluation; scientific research projects; index system; neural network

• Czasopismo: Foundations of Computing and Decision Sciences
• Rocznik: 2014
• Tom: Vol. 39, No. 3
• Strony: 175--188
• Opis fizyczny: Bibliogr. 13 poz.

Twórcy

autor

Hou, X.

• Science and Technology Division, Beijing Jiaotong University, 100044 Beijing, China

autor

Huang, L.

• School of Economics and Management, Beijing Jiaotong University, 100044 Beijing, China

autor

Li, X.

• School of Traffic and Transportation, Beijing Jiaotong University, 100044 Beijing, China

Bibliografia

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Identyfikatory

DOI

10.2478/fcds-2014-0010