Title :
The Coupling Degree Prediction between Financial Innovation Process and Innovation Environment Based on GM(1,1)-BPNN
Author :
Tian Yuan ; Chen Wei ; Zhu Shuzhen
Author_Institution :
Gloria Sun Sch. of Bus. & Manage., Donghua Univ., Shanghai, China
Abstract :
There is the coupling relationship between financial innovation process system and environment system, which is embodied by the complex interactive stress and constraint mechanism between them. In this paper, financial innovation system as an example, is analyzed by Grey Model (GM(1, 1)) and Back Propagation Neural Network (BPNN) model, and then the coupling coordination situation between the financial innovation process and innovation environment is predicted.
Keywords :
backpropagation; financial management; grey systems; innovation management; neural nets; BPNN model; GM(1,1)-BPNN; back propagation neural network model; complex interactive stress; constraint mechanism; coupling coordination situation; coupling degree prediction; coupling relationship; environment system; financial innovation process system; financial innovation system; grey model; innovation environment; Couplings; Data models; Neural networks; Neurons; Prediction algorithms; Predictive models; Technological innovation; Back Propagation Neural Network model; Grey Model; financial innovation system; prediction;
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2014 Sixth International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-4956-4
DOI :
10.1109/IHMSC.2014.70