Improvement Of The Delphi Method Based On Bp Artificial Neural Network

Because member's weight in the traditional Delphi method is mainly determined by his experiences, position, age and evaluation etc, it is possible to lower the accuracy for making decision and forecast. To enhance the accuracy of the traditional Delphi method, an improved Delphi method based on BP artificial neural network is proposed. By establishing a new weight calculation model based on BP artificial neural network for computing member's weight, the improved Delphi method can make decision and forecast accurately. It has been successfully applied to evaluate and sort operational results of stock listed companies of China. The result shows that the improved Delphi method is more accurate than the traditional Delphi method.