Highest standard count estimation from fibre parameters using neural network techniques

Indian Journal of Fibre and Textile Research

Volumn 30, Issue 3, 2005, Pages 302-308

  Shanmugam, N ^a   Doke, S S ^b  

^a ICAR CENTRAL INSTITUTE FOR RESEARCH ON COTTON TECHNOLOGY   (India)

^b VEERMATA JIJABAI TECHNOLOGICAL INSTITUTE   (India)

Author keywords

Artificial neural network; Back propagation neural network; Cotton; Fibre quality index; Highest standard count; Lea CSP; Multiple regression model

Indexed keywords

COUNT; FIBER PROPERTY; NEURAL NETWORK;

EID: 26044483559     PISSN: 09710426     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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