DocumentCode
2138204
Title
Notice of Retraction
A Risk Evaluation Model of Dynamic Neural Network Based on TFN-AHP
Author
Huiru Zhao ; Chunjie Li ; Tao Chen
Author_Institution
Inst. of Ind. Econ., North China Electr. Power Univ. (NCEPU), Beijing, China
fYear
2010
fDate
24-26 Aug. 2010
Firstpage
1
Lastpage
4
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Developed a novel model named dynamic neural network model for the risk evaluation of an investment project. The fundamental identification of weight was given based on Triangle Fuzzy Number and Analytical Hierarchy Process (TFN-AHP), through combining the weight with dynamic decision group, a formula of dynamic normalized weight vector was established by Clustering, and the final weight vector of every factors of was given by the formula; A more useful risk evaluation model based on dynamic neural network was proposed through utilizing the BP neural network and mapping the parameters into the neural network. The conclusion by simulation said that it can more effectively deal with the problems of the weight changes during the evaluation for an investment project.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Developed a novel model named dynamic neural network model for the risk evaluation of an investment project. The fundamental identification of weight was given based on Triangle Fuzzy Number and Analytical Hierarchy Process (TFN-AHP), through combining the weight with dynamic decision group, a formula of dynamic normalized weight vector was established by Clustering, and the final weight vector of every factors of was given by the formula; A more useful risk evaluation model based on dynamic neural network was proposed through utilizing the BP neural network and mapping the parameters into the neural network. The conclusion by simulation said that it can more effectively deal with the problems of the weight changes during the evaluation for an investment project.
Keywords
backpropagation; decision making; fuzzy set theory; investment; neural nets; project management; risk management; vectors; BP neural network; TFN-AHP; analytical hierarchy process; dynamic decision group; dynamic neural network model; dynamic normalized weight vector; investment project; risk evaluation model; triangle fuzzy number; Artificial neural networks; Biological system modeling; Dynamic programming; Heuristic algorithms; Indexes; Investments; Training;
fLanguage
English
Publisher
ieee
Conference_Titel
Management and Service Science (MASS), 2010 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-5325-2
Type
conf
DOI
10.1109/ICMSS.2010.5575751
Filename
5575751
Link To Document