Title :
Appraisal of High-Tech Zone Technology Innovation Ability Based on BP Neural Network
Author :
Wang, Aifeng ; Liu, Zhiqiang
Author_Institution :
Econ. & Manage. Sch., Hebei Eng. Univ., Hanhan, China
Abstract :
High-tech industry zone play a important role in the global economic system with the continuously new knowledge innovation, itpsilas becoming the main motion of regional economic structure optimization and competition. The technology ability and diffuse effect of High-tech zone influence itself and regional economic development greatly. This paper design High-tech zone technology innovation ability appraisal index system, and take integrated appraisal with BP neural network, a improved method is put forward to identification mode by Euclidean distance, and appraise a true sample with it.
Keywords :
backpropagation; economics; globalisation; innovation management; neural nets; optimisation; BP neural network; Euclidean distance; global economic system; high-tech zone technology innovation; knowledge innovation; optimization; Appraisal; Artificial neural networks; Biological neural networks; Feedforward neural networks; Innovation management; Knowledge engineering; Multi-layer neural network; Neural networks; Space technology; Technological innovation; BP -neural network; High-tech zone; identification mode; technology ability;
Conference_Titel :
Business Intelligence and Financial Engineering, 2009. BIFE '09. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-0-7695-3705-4
DOI :
10.1109/BIFE.2009.15
