Notice of RetractionA Risk Evaluation Model of Dynamic Neural Network Based on TFN-AHP

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.