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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

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【作者】 郑启富张有正朱益民

【Author】 ZHENG Qi fu 1,ZHANG You zheng 2,ZHU Yi min 2 (1. Department of Chemical engineering, Attached to Zhejiang Unive rsity of Technology,Quzhou 324006,China; 2. Department of Public Course , Attached to Zhejiang University of Technology, Quzhou 324006, China)

【机构】 浙江工业大学浙西分校化工系浙江工业大学浙西分校基础部浙江工业大学浙西分校基础部 浙江衢州324006浙江衢州324006浙江衢州324006

【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.

  • 【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
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