메뉴 건너뛰기




Volumn 25, Issue 4, 2000, Pages 251-255

Prediction of air permeability of needle-punched nonwoven fabrics using artificial neural network and empirical models

Author keywords

Air permeability; Artificial neural network; Empirical model; Needle punched nonwoven fabric

Indexed keywords

AIR; FABRIC PROPERTY; NEEDLED FABRIC; NEURAL NETWORK; NONWOVEN FABRIC; PERMEABILITY;

EID: 0034592021     PISSN: 09710426     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (38)

References (9)
  • 4
    • 0012637079 scopus 로고
    • Effect of web weight, needling density and depth of needle penetration on fabric mechanical properties
    • paper presented The Textile Institute, North India Section, New Delhi
    • Subramaniam V, Madhusoothanan M & Dcbnath C R, Effect of web weight, needling density and depth of needle penetration on fabric mechanical properties, paper presented at the International Conference on Nonwovens (The Textile Institute, North India Section, New Delhi), 1992 184.
    • (1992) International Conference on Nonwovens , pp. 184
    • Subramaniam, V.1    Madhusoothanan, M.2    Dcbnath, C.R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.