Principal component analysis and artificial neural networks applied to the classification of Chinese pottery of neolithic age

Analytica Chimica Acta

Volumn 406, Issue 2, 2000, Pages 247-256

  Ma, Qinglin ^a   Yan, Aixia ^a   Hu, Zhide ^a   Li, Zuixong ^b   Fan, Botao ^c  

^a LANZHOU UNIVERSITY   (China)

^b Dunhuang Academy   (China)

^c UNIVERSITÉ PARIS DESCARTES   (France)

Author keywords

Artificial neural networks (ANNs); Chemical composition; Chinese pottery of neolithic age; Principal component analysis (PCA); Volumetric analysis

Indexed keywords

ARCHEOLOGY; ARTICLE; ARTIFICIAL NEURAL NETWORK; CHEMICAL COMPOSITION; CHINESE; CLASSIFICATION; HISTORY; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; ROCK; X RAY DIFFRACTION;

EID: 0033970728     PISSN: 00032670     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0003-2670(99)00764-3     Document Type: Article

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