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New Technology of Library and Information Service  2006, Vol. 1 Issue (5): 54-57    DOI: 10.11925/infotech.1003-3513.2006.05.14
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Rebuilding Index System for Evaluating Internet Resources by Artificial Neural Networks
Liang Li1   Zhang Yang1    Huang Yaming2
1(Newsroom of Practical Pharmacy and Clinical Remedies, the Second Affiliated Hospital of CMU, Shenyang 110004, China)
2(Department of Information Management and Information System(Medicine),China Medical University, Shenyang 110001, China)
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Abstract  

This paper aims to rebuild the index system of evaluating Internet resources by artificial neural networks. Indicators and their frequency are studied out primarily by searching related articles, Original and weighted grade tables are obtained by questionnaire, Statistica Neural Networks (SNN) and SPSS are used to deal with the data, and the first-degree target system of evaluating Internet resources is achieved successfully.

Key wordsInternet resources      Evaluation      Artificial neural networks      Word frequency     
Received: 09 January 2006      Published: 25 May 2006
: 

G250.73

 
Corresponding Authors: Zhang Yang     E-mail: iamhilda_1115@yahoo.com.cn
About author:: Liang Li,Zhang Yang,Huang Yaming

Cite this article:

Liang Li,Zhang Yang,Huang Yaming . Rebuilding Index System for Evaluating Internet Resources by Artificial Neural Networks. New Technology of Library and Information Service, 2006, 1(5): 54-57.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2006.05.14     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2006/V1/I5/54

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