By Topic

Research on measurement of regional knowledge stock based on comprehensive information entropy

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Xiao-feng Wang ; Beijing Inst. of Technol., Beijing, China ; Pang Zhou ; Wei Qi

Starting with the research on regional knowledge stock and based on the basic principle of information entropy, this paper establishes a measurement index system of regional knowledge stock which contains three aspects: innovation input, innovation environment and innovation benefit; it also tries to put forward a new method for measurement of knowledge stock. Integrating the previous data of Zhongguancun Science Park, it empirically analyzes the index system.

Published in:

Machine Learning and Cybernetics (ICMLC), 2010 International Conference on  (Volume:4 )

Date of Conference:

11-14 July 2010