DocumentCode
2248228
Title
Study on the Evaluation Method of Industrial Technology Innovative Ability Based on Principal Components Analysis and Support Vector Machine
Author
Ting, Wang ; Hui, Zhang
Author_Institution
Dept. of Economic Manage., North China Electr. Power Univ., Baoding
Volume
1
fYear
2008
fDate
19-19 Dec. 2008
Firstpage
355
Lastpage
358
Abstract
Innovation is the power and the headspring of industrial development, so how to evaluate the industrial technology innovative ability more accurate and prompt is a key question of the economic development. Now the evaluation method probably includes: AHP methodology, fuzzy comprehensive evaluation, and so on. But these methods have strong subjectivity, and the fuzzy comprehensive evaluation method doesnpsilat conform to the measure characteristic of normalizing. This article uses the principal components analysis (PCA) to reduce the indexes which will affect the industry technological innovative ability, and then found a new evaluation method of the industrial technology innovation ability based on the support vector machines (SVM). The demonstration indicates that the new evaluation method can evaluate the industry technological innovative ability of our country promptly and accurately.
Keywords
principal component analysis; support vector machines; principal components analysis; support vector machine; technological innovation; Independent component analysis; Industrial economics; Industrial training; Information analysis; Power generation economics; Principal component analysis; Sorting; Support vector machine classification; Support vector machines; Technological innovation; Support vector machine; industry; principal components analysis; technological innovation;
fLanguage
English
Publisher
ieee
Conference_Titel
Business and Information Management, 2008. ISBIM '08. International Seminar on
Conference_Location
Wuhan
Print_ISBN
978-0-7695-3560-9
Type
conf
DOI
10.1109/ISBIM.2008.112
Filename
5117501
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