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
Link To Document :
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