DocumentCode :
2647554
Title :
Wavelet analysis model of controlling cooperatively technical innovation risk
Author :
Yang, Chang-Hui
Author_Institution :
Zhengzhou Univ., Zhengzhou
Volume :
4
fYear :
2007
fDate :
2-4 Nov. 2007
Firstpage :
1508
Lastpage :
1511
Abstract :
Because of the existence of the complex non-linear function mechanism between the risk factors, it is necessary to take measure to prevent and indemnify the loss that the risk may bring. This paper analyzed the seeking method of enterprise cooperatively technical innovation risk, and the steps of seeking risks are presented. And then the concept of controlling risk regulation gradient is put forward, and the method of calculating risk regulation gradient is expatiated in detail. The wavelet transformation or the decomposition displays the good time frequency localization characteristic and the multi-criteria function, therefore the wavelet nerve network based on the wavelet decomposition and the nerve network has the good fault-tolerant ability and the non-linearity approaching performance. And based on this, a complete controlling risk model of cooperatively technical innovation is brought forward, and the algorithm of risk control model is discussed.
Keywords :
fault tolerance; innovation management; nonlinear functions; risk analysis; wavelet transforms; complex nonlinear function mechanism; cooperatively technical innovation risk; decomposition displays; fault-tolerant ability; frequency localization characteristic; multicriteria function; risk factors; risk regulation gradient; wavelet analysis model; wavelet nerve network; Control systems; Electronic mail; Investments; Notice of Violation; Pattern analysis; Pattern recognition; Risk analysis; Size control; Technological innovation; Wavelet analysis; Cooperatively Technical Innovation; Nerve Network; Risk Control; Wavelet Analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wavelet Analysis and Pattern Recognition, 2007. ICWAPR '07. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-1065-1
Electronic_ISBN :
978-1-4244-1066-8
Type :
conf
DOI :
10.1109/ICWAPR.2007.4421689
Filename :
4421689
Link To Document :
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