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

Volume

1

fYear

2014

fDate

26-27 Aug. 2014

Firstpage

257

Lastpage

260

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2014 Sixth International Conference on

Conference_Location

Hangzhou

Print_ISBN

978-1-4799-4956-4

Type

conf

DOI

10.1109/IHMSC.2014.70

Filename

6917353