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Volumn 5, Issue 1, 1997, Pages 19-25

Applying artificial neural networks: Part II. Using near infrared data to classify tobacco types and identify native grown tobacco

Author keywords

Artificial neural networks; BP; Chemometrics; Classification; Linear neuron; NIR near infrared; Quadratic classifier; Tobacco

Indexed keywords


EID: 0031326547     PISSN: 09670335     EISSN: None     Source Type: Journal    
DOI: 10.1255/jnirs.96     Document Type: Article
Times cited : (28)

References (12)
  • 9
    • 3142544434 scopus 로고    scopus 로고
    • Paper #1: A new approach for training artificial neural networks
    • Ph.D. Thesis, North Carolina State University, Raleigh, North Carolina, (University Microfilms, Ann Arbor, Michigan)
    • M. Hana, M. White, D. Bahler, W.F. McClure and T. Whitaker, "Paper #1: A new approach for training artificial neural networks", in Qualitative and Quantitative Near Infrared Analysis using Artificial Neural Networks. Ph.D. Thesis, North Carolina State University, Raleigh, North Carolina, (University Microfilms, Ann Arbor, Michigan) pp. 63-85 (1996).
    • (1996) Qualitative and Quantitative Near Infrared Analysis Using Artificial Neural Networks , pp. 63-85
    • Hana, M.1    White, M.2    Bahler, D.3    McClure, W.F.4    Whitaker, T.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.