Evaluation Model of Project Ivestment Comprehensive Risk based on Chaos Artificial Neural Network
Tao Liu · Science and Management · 2009
Considering the problems of slow convergence speed and local minimum existing in the BP algorithm, chaos theory in combining with artificial neural network is used to structure chaos learning algorithm and to establish a new comprehensive risk evaluation model based on Chaos Neural Network. This model can make its solution escape from the local utmost points and approach global optimum.The results obtained from the application of this method to the compre- hensive evaluation of project investment comprehensive risks indicate that this method is feasible and effective.