基于最近邻-径向基函数网络的石油产量预测模型

Prediction Model of Petroleum Yield Based on Nearest Neighbor-Radial Basis Function Networks

针对时间序列变量难以精确预测的问题 ,本文将最近邻思想与径向基函数网络相融合 ,提出了一种新的预测方法 ,并将其应用于石油产量的预测 。

Aim at the problem of time series variable cannot be p re dicted exactly,a new prediction model was proposed in this paper. The model was produced by combining the idea of nearest neighbor with radial basis function n etworks. It was applied to predict the petroleum yield,and very good effect was obtained.