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Volumn 25, Issue 3, 2006, Pages

Discriminating varieties of waxberry using near infrared spectra

Author keywords

Artificial neural network; Clustering; Near infrared spectra; Principal component analysis; Waxberry

Indexed keywords

COMPONENTS; FRUITS; LEARNING ALGORITHMS; NEURAL NETWORKS; NONDESTRUCTIVE EXAMINATION; PATTERN RECOGNITION;

EID: 33748682190     PISSN: 10019014     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (62)

References (7)
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    • Esteban-Diez I, Gonzalez-Saiz J M, Pizarro C. An evaluation of orthogonal signal correction methods for the characterisation of arabica and robusta coffee varieties by NIRS[J]. Analytica. Chimica. Acta, 2004, 514(1): 57-67.
    • (2004) Analytica. Chimica. Acta , vol.514 , Issue.1 , pp. 57-67
    • Esteban-Diez, I.1    Gonzalez-Saiz, J.M.2    Pizarro, C.3
  • 2
    • 0343825218 scopus 로고    scopus 로고
    • Application of the feature selection method to discriminate digitized wheat varieties
    • Haluk Utku. Application of the feature selection method to discriminate digitized wheat varieties[J]. Journal of Food Engineering, 1999, 46(3): 211-216.
    • (1999) Journal of Food Engineering , vol.46 , Issue.3 , pp. 211-216
    • Utku, H.1
  • 3
    • 33745622438 scopus 로고    scopus 로고
    • Quantitative analysis of the varieties of apple using near infrared spectroscopy by principal component analysis and BP model
    • HE Yong, LI Xiao-Li, SHAO Yong-Ni. Quantitative analysis of the varieties of apple using near infrared spectroscopy by principal component analysis and BP model[J]. Lecture Notes in Artificial Intelligence, 2005, 3809: 1053-1056.
    • (2005) Lecture Notes in Artificial Intelligence , vol.3809 , pp. 1053-1056
    • He, Y.1    Li, X.-L.2    Shao, Y.-N.3
  • 4
    • 3042744271 scopus 로고    scopus 로고
    • Discrimination of trueborn tuber dioscoreae by fingerprint infrared spectra and principle component analysis
    • SUN Su-Qin, TANG Jun-Ming, YUAN Zi-Min, et al. Discrimination of trueborn tuber dioscoreae by fingerprint infrared spectra and principle component analysis[J]. Spectroscopy and Spectral Analysis, 2003, 23(2): 258-260.
    • (2003) Spectroscopy and Spectral Analysis , vol.23 , Issue.2 , pp. 258-260
    • Sun, S.-Q.1    Tang, J.-M.2    Yuan, Z.-M.3
  • 5
    • 19944431554 scopus 로고    scopus 로고
    • Analysis on the ultra-spectral characteristics of water environmental parameters about lake
    • YIN Qiu, SHU Xiao-Zhou, XU Zhao-An, et al. Analysis on the ultra-spectral characteristics of water environmental parameters about lake[J]. J. Infrared Millim. Waves, 2004, 23(6): 427-435.
    • (2004) J. Infrared Millim. Waves , vol.23 , Issue.6 , pp. 427-435
    • Yin, Q.1    Shu, X.-Z.2    Xu, Z.-A.3
  • 6
    • 33646756557 scopus 로고    scopus 로고
    • Study of application model on BP neural network optimized by fuzzy clustering
    • HE Yong, ZHANG Yun, XIANG Li-Guo. Study of application model on BP neural network optimized by fuzzy clustering[J]. Lecture Notes in Artificial Intelligence, 2005, 3789: 712-720.
    • (2005) Lecture Notes in Artificial Intelligence , vol.3789 , pp. 712-720
    • He, Y.1    Zhang, Y.2    Xiang, L.-G.3
  • 7
    • 2542534526 scopus 로고    scopus 로고
    • Model for sea clutter based on neural network
    • Lin Sao-Hu, Zhu Hong, Zhao Yi-Gong. Model for sea clutter based on neural network[J]. J. Infrared Millim. Waves, 2004, 23(1): 55-58.
    • (2004) J. Infrared Millim. Waves , vol.23 , Issue.1 , pp. 55-58
    • Lin, S.-H.1    Zhu, H.2    Zhao, Y.-G.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.