Application of a neural network optimization combinatorial prediction model to oil-gas yield forecasting
Yong Sheng Deng · 2008
This paper is organized as follows:making use of combinatorial prediction method to study the forecast of oil and gas yield,choosing several prediction models to establish a model setting, on the basis of timing efficiency of weight,taking the advantage of BP to establish the weight-changing combinatorial prediction model,and then,taking an instance analysis,and the result shows that this method can improve the accuracy of prediction and increase the practicality of this prediction model.