A Situation Forecast Method Based on Improved Double Feedback Elman Neural Network

In view of the existing problems of the current situation forecast methods based on Elman neural network, this paper introduces the trend correction factor in the situation forecast model, adjusts the trend correction factor based on the trend change direction of the predicted value and the actual value, and proposes a situation forecast method based on the adjustment factor of the double feedback Elman neural network. The experimental results show that the predictive power of the double feedback Elman neural network based on the adjustment factor is obviously better than the comparison forecast methods.