Your browser doesn't support javascript.
loading
[Study of feature extraction methods for maize's near infrared spectra in biomimetic pattern recognition].
Shen, Li-feng; Jia, Shi-qiang; Guo, Ting-ting; Wu, Wen-jin; Yan, Yan-lu; An, Dong.
Afiliación
  • Shen LF; College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China. lfshen@cau.edu.cn
Guang Pu Xue Yu Guang Pu Fen Xi ; 32(4): 939-43, 2012 Apr.
Article en Zh | MEDLINE | ID: mdl-22715757
Near infrared spectrum is an important step in near infrared spectrum qualitative analysis, which influences the qualitative analysis results directly. Diffuse transmittance measurements mode was used to collect spectral data of eight maize varieties. PCA, ICA, PLS-DA and wavelet transformation were used to extract features of pretreated data. Finally, we used the test set data to test the recognition models of eight maize varieties which were built based on biomimetic pattern recognition (BPR). We draw a conclusion that PLS-DA can make models get higher average correct recognition rate than PCA, ICA and Wavelet transformation.
Asunto(s)
Buscar en Google
Añadir a Mi BVS
Imprimir
XML
PubMed Links

Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Reconocimiento de Normas Patrones Automatizadas / Espectroscopía Infrarroja Corta / Zea mays / Biomimética Tipo de estudio: Qualitative_research Idioma: Zh Revista: Guang Pu Xue Yu Guang Pu Fen Xi Año: 2012 Tipo del documento: Article País de afiliación: China Pais de publicación: China
Buscar en Google
Añadir a Mi BVS
Imprimir
XML
PubMed Links

Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Reconocimiento de Normas Patrones Automatizadas / Espectroscopía Infrarroja Corta / Zea mays / Biomimética Tipo de estudio: Qualitative_research Idioma: Zh Revista: Guang Pu Xue Yu Guang Pu Fen Xi Año: 2012 Tipo del documento: Article País de afiliación: China Pais de publicación: China