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Volumn 30, Issue 1, 2005, Pages 19-25

Application of linear regression, artificial neural network and neuro-fuzzy algorithms to predict the breaking elongation of rotor-spun yarns

Author keywords

Artificial neural network; Breaking elongation; Cotton fibre; High volume instrument; Neuro fuzzy model; Rotor spun yarns

Indexed keywords

BREAKING ELONGATION; COTTON FIBER; MATHEMATICAL ANALYSIS; ROTOR SPINNING; YARN PROPERTY;

EID: 16244403274     PISSN: 09710426     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (34)

References (24)
  • 16
    • 3543122692 scopus 로고    scopus 로고
    • Application of artificial neural networks for predicting yarn properties and process parameters
    • Ph.D. thesis, Indian Institute of Technology, New Delhi
    • Guha A, Application of artificial neural networks for predicting yarn properties and process parameters, Ph.D. thesis, Indian Institute of Technology, New Delhi, 2001.
    • (2001)
    • Guha, A.1
  • 23
    • 3543092377 scopus 로고    scopus 로고
    • Texas cotton quality evaluation of 1997 and 1998 crop
    • (International Textile Centre, Lubbock, Texas, USA); www.itc.ttu.edu
    • Texas cotton quality evaluation of 1997 and 1998 crop (International Textile Centre, Lubbock, Texas, USA); www.itc.ttu.edu.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.