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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
【摘要】 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 ,取得了良好的效果
【Abstract】 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.
【关键词】 最近邻;
径向基函数网络;
石油产量;
预测;
时间序列变量;
【Key words】 nearest neighbor; radial basis function networks; petrol eum yield; prediction; time series variable;
【Key words】 nearest neighbor; radial basis function networks; petrol eum yield; prediction; time series variable;
- 【文献出处】 化工技术与开发 ,Guangxi Chemical Industry , 编辑部邮箱 ,2003年02期
- 【分类号】F407.22
- 【被引频次】8
- 【下载频次】155