Modeling and optimization of reactive cotton dyeing using response surface methodology combined with artificial neural network and particle swarm techniques

被引：0
|
作者：
Jorge Marcos Rosa
Flavio Guerhardt
Silvestre Eduardo Rocha Ribeiro Júnior
Peterson A. Belan
Gustavo A. Lima
José Carlos Curvelo Santana
Fernando Tobal Berssaneti
Elias Basile Tambourgi
Rosangela Maria Vanale
Sidnei Alves de Araújo
机构：
[1] State University of Campinas,Industrial Engineering Post Graduate Program
[2] Polytechnic School of University of São Paulo,Informatics and Knowledge Management Post Graduate Program
[3] USP,undefined
[4] SENAI Antoine Skaf – Textile,undefined
[5] Nove de Julho University,undefined
[6] Nove de Julho University,undefined
[7] Federal University of ABC,undefined
[8] Sorocaba Technology Park,undefined
来源：
Clean Technologies and Environmental Policy | 2021年 / 23卷
关键词：
Dyeing of cotton; Reactive dyestuff; Coloristic intensity; Response surface methodology; Artificial neural network; Particle swarm optimization;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：2357 / 2367
页数：10
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