基于范例推理的NPD数据支持向量机预测

蔡良才;董豪昊;王海服;刘 洲;邵 斌;戴圣睿

振动与冲击 ›› 2014, Vol. 33 ›› Issue (16) : 80-84.

PDF(933 KB)
PDF(933 KB)
振动与冲击 ›› 2014, Vol. 33 ›› Issue (16) : 80-84.
论文

基于范例推理的NPD数据支持向量机预测

  • 蔡良才1,董豪昊1,王海服1,刘 洲1,邵 斌1,戴圣睿2
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Support vector machine prediction of NPD data based on case-based reasoning

  • CAI Liang-cai1,DONG Hao-hao1,WANG Hai-fu1,LIU Zhou1,SHAO Bin1,DAI Sheng-rui2
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摘要

针对当前军用飞机NPD(Noise-Power-Distance)数据集成过程中面临小样本、小范围及数据失真问题,给出基于范例推理监督的支持向量机预测方法。用支持向量机作为数据回归与预测模型,通过范例推理检索出与目标范例相似的NPD数据,用相似范例来指导NPD数据的回归与预测。提出基于坡度的相似性检索、检验及修正方法,成功将范例推理的监督作用与预测模型有机结合,降低预测模型对数据样本的敏感性及依赖性。实例表明,该方法经济可行,能提高回归及预测精度。

Abstract

A support vector machine prediction method based on the surveillance of case-based reasoning is presented aimed at the problems of small sample, small range and data distortion during the military aircraft NPD data integration. This method adopts support vector machine as regression and prediction model, searches similar case via case-based reasoning and uses it to supervise the process of regression and prediction. In this process, a method of comparability search, checkout and revise based on gradient is put forward successfully to combine case-based reasoning and prediction model, which reduces the sensitivity and dependence of model on the data sample. An example indicates that the mothed is economical and effective, which will greatly improve the precision of regression and prediction.

关键词

NPD数据 / 范例推理 / 支持向量机 / 预测

Key words

NPD data / case-based reasoning / support vector machine (SVM) / prediction

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蔡良才;董豪昊;王海服;刘 洲;邵 斌;戴圣睿. 基于范例推理的NPD数据支持向量机预测[J]. 振动与冲击, 2014, 33(16): 80-84
CAI Liang-cai;DONG Hao-hao;WANG Hai-fu;LIU Zhou;SHAO Bin;DAI Sheng-rui. Support vector machine prediction of NPD data based on case-based reasoning[J]. Journal of Vibration and Shock, 2014, 33(16): 80-84

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