Predicting the ultraviolet radiation protection by polyester-cotton blended woven fabrics using nonlinear regression and artificial neural network models

Photodermatology Photoimmunology and Photomedicine

Volumn 29, Issue 4, 2013, Pages 182-189

  Hatua, Piyali ^a   Majumdar, Abhijit ^a   Das, Apurba ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY DELHI   (India)

Author keywords

Artificial neural network; Nonlinear regression; Polyester cotton blend; Trend analysis; Ultraviolet protection factor

Indexed keywords

POLYESTER;

ARTICLE; ARTIFICIAL NEURAL NETWORK; DENSITY; NONLINEAR SYSTEM; PRIORITY JOURNAL; PRODUCT PARAMETERS; RADIATION PROTECTION; ULTRAVIOLET RADIATION; YARN;

ARTIFICIAL NEURAL NETWORK; NONLINEAR REGRESSION; POLYESTER-COTTON BLEND; TREND ANALYSIS; ULTRAVIOLET PROTECTION FACTOR;

COTTON FIBER; NEURAL NETWORKS (COMPUTER); POLYESTERS; ULTRAVIOLET RAYS;

EID: 84879804449     PISSN: 09054383     EISSN: 16000781     Source Type: Journal    
DOI: 10.1111/phpp.12045     Document Type: Article

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