Title :
Regional Innovation Capability of China Based on BP Algorithm
Author :
Wang YanTing ; Xie Qianbin ; Han Yu ; Guo Linan
Author_Institution :
Sch. of Manage., Hebei Univ. of Technol., Tianjin, China
Abstract :
BP artificial neural network simulates the human brain\´s neural network works, and establishes the model which can "learn", and is able to take full advantage and accumulate of the experiential knowledge, thus minimizes the error between the optimal solution and the actual value. In this paper, regional innovation capability of China and comparison of three regions are analyzed by the regional technological innovation capability assessment model and BPANN.
Keywords :
backpropagation; innovation management; neural nets; BP artificial neural network; BPANN; China; experiential knowledge; regional technological innovation capability assessment; Joints; Optimization; Advantage; BP Algorithm; Regional Innovation;
Conference_Titel :
Computational Sciences and Optimization (CSO), 2011 Fourth International Joint Conference on
Conference_Location :
Yunnan
Print_ISBN :
978-1-4244-9712-6
Electronic_ISBN :
978-0-7695-4335-2
DOI :
10.1109/CSO.2011.216
