中国土木工程学报 关键词：结构健康监测;环境因素;非线性主成分分析;模态参数;桥梁 [gap=1979]Keywords: structural health monitoring; environmental factors; NLPCA; modal parameter; bridge
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运用非线性主成分分析法对欧亚地区1948—2007年冬季海平面气压距平场进行分析。
Eurasian winter sea level pressure anomalies during 1948-2007 were investigated by applying a nonlinear principal component analysis (NLPCA) method.
运用非线性主成分分析法对欧亚地区1948—2007年冬季海平面气压距平场进行分析。
Eurasian summer sea level pressure anomalies during 1948 -2007 were investigated by applying a Nonlinear Principal Component Analysis (NLPCA) method.
基于核主成分分析（KPCA）的人脸识别算法能够提取非线性图像特征，在小样本训练条件下有较好性能。
The algorithm of face recognition based on kernel principal component analysis(KPCA)can abstract nonlinear features of image and can get better performance under less sample training conditions.
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