摘要
在预测飞行能力的讨论中,提出了利用主成分分析方法从不同的类别中提取出不同的特征,再将待测模式所具有的特征与标准模式所具有的特征相比较,就可实现预测的目的,同时,也提高了预测的客观性和预测的准确性。
This paper presents the method of forecasting flying ability by means of the principal component analysis. Using the method of principal component analysis get different characters from the kinds which are different in character , and compare the character of the pattern which is forecasted with the character of the normal pottern. The target of prediction will be attained. It improves the objectivism and the accuracy of forecasting flying ability. p
出处
《实验科学与技术》
2007年第2期36-39,共4页
Experiment Science and Technology
关键词
主成分分析
飞行能力
特征值
特征向量
rincipal component analysis
flying ability
characteristic value
characteristic vector
作者简介
刘贵和（1945-）,男,副教授,主要从事模糊数学和多元分析应用研究。
