4.6 Review

Modeling of textile manufacturing processes using intelligent techniques: a review

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Engineering, Industrial

Multi-objective optimization of the textile manufacturing process using deep-Q-network based multi-agent reinforcement learning

Zhenglei He et al.

Summary: This study proposes a method that transforms the textile optimization problem into a stochastic game and introduces the deep Q-network algorithm. The developed multi-agent reinforcement learning system achieves the optimal solutions for the textile process and performs better than traditional methods.

JOURNAL OF MANUFACTURING SYSTEMS (2022)

Article Computer Science, Interdisciplinary Applications

A deep reinforcement learning based multi-criteria decision support system for optimizing textile chemical process

Zhenglei He et al.

Summary: The paper proposes a decision support system that combines intelligent data based models of random forest (RF) and a human knowledge-based multi-criteria structure of analytical hierarchical process (AHP) for the textile manufacturing process. It also describes the textile chemical manufacturing process as a Markov decision process (MDP) and employs Deep Q networks (DQN) for optimization, showing effectiveness in a case study of optimizing a textile ozonation process.

COMPUTERS IN INDUSTRY (2021)

Article Chemistry, Applied

A comparative study of ozonation on aqueous reactive dyes and reactive-dyed cotton

Mengru Li et al.

Summary: Ozonation has been increasingly used and reported in recent years. This paper compared the effects of ozonation on aqueous reactive dyes and dyed cotton, revealing different reaction kinetics and pH dependency between the two materials. High temperature also had different effects on the two substrates, with hydrolysis of dyes in aqueous solution but not dyed cotton.

COLORATION TECHNOLOGY (2021)

Article Engineering, Environmental

Color fading of reactive-dyed cotton using UV-assisted ozonation

ZhengLei He et al.

OZONE-SCIENCE & ENGINEERING (2019)

Article Chemistry, Applied

Effects of color fading ozonation on the color yield of reactive-dyed cotton

Zhenglei He et al.

DYES AND PIGMENTS (2019)

Article Materials Science, Textiles

Mining affective words to capture customer's affective response to apparel products

Y. Zhao et al.

TEXTILE RESEARCH JOURNAL (2018)

Article Engineering, Environmental

The effect of denim color fading ozonation on yarns

Zhenglei He et al.

OZONE-SCIENCE & ENGINEERING (2018)

Article Materials Science, Textiles

Developing a mapping from affective words to design parameters for affective design of apparel products

Yu Zhao et al.

TEXTILE RESEARCH JOURNAL (2017)

Article Materials Science, Textiles

Predicting the colour properties of viscose knitted fabrics using soft computing approaches

Ismail Hossain et al.

JOURNAL OF THE TEXTILE INSTITUTE (2017)

Review Biotechnology & Applied Microbiology

Intelligent Techniques Using Molecular Data Analysis in Leukaemia: An Opportunity for Personalized Medicine Support System

Haneen Banjar et al.

BIOMED RESEARCH INTERNATIONAL (2017)

Article Computer Science, Artificial Intelligence

An Artificial Neural Network Model for Prediction of Colour Properties of Knitted Fabrics Induced by Laser Engraving

C. W. Kan et al.

NEURAL PROCESSING LETTERS (2016)

Article Computer Science, Artificial Intelligence

Predicting the Mechanical Properties of Viscose/Lycra Knitted Fabrics Using Fuzzy Technique

Ismail Hossain et al.

ADVANCES IN FUZZY SYSTEMS (2016)

Article Materials Science, Textiles

Ring yarn quality prediction using hybrid artificial neural network Fuzzy expert system model

Hanen Ghanmi et al.

INTERNATIONAL JOURNAL OF CLOTHING SCIENCE AND TECHNOLOGY (2015)

Article Engineering, Multidisciplinary

A Fuzzy Neural Network Based on Non-Euclidean Distance Clustering for Quality Index Model in Slashing Process

Yuxian Zhang et al.

MATHEMATICAL PROBLEMS IN ENGINEERING (2015)

Article Materials Science, Textiles

Artificial Neural Network Approach for Predicting Colour Properties of Laser-treated Denim Fabrics

O. N. Hung et al.

FIBERS AND POLYMERS (2014)

Article Materials Science, Textiles

Application of data mining technique in predicting worsted spun yarn quality

Vajihe Mozafary et al.

JOURNAL OF THE TEXTILE INSTITUTE (2014)

Article Materials Science, Textiles

Predicting the tensile properties of cotton/spandex core-spun yarns using artificial neural network and linear regression models

Alsaid Ahmed Almetwally et al.

JOURNAL OF THE TEXTILE INSTITUTE (2014)

Article Materials Science, Textiles

Predicting the color index of acrylic fiber using fuzzy-genetic approach

Morteza Vadood

JOURNAL OF THE TEXTILE INSTITUTE (2014)

Article Automation & Control Systems

Modeling plasma surface modification of textile fabrics using artificial neural networks

Radhia Abd Jelil et al.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2013)

Article Materials Science, Textiles

Yarn Engineering Using Hybrid Artificial Neural Network-Genetic Algorithm Model

Subhasis Das et al.

FIBERS AND POLYMERS (2013)

Article Materials Science, Textiles

Modeling of needle penetration force in denim fabric

Ezzatollah Haghighat et al.

INTERNATIONAL JOURNAL OF CLOTHING SCIENCE AND TECHNOLOGY (2013)

Article Materials Science, Textiles

The Use of Hybrid Algorithms to Improve the Performance of Yarn Parameters Prediction Models

Josphat Igadwa Mwasiagi et al.

FIBERS AND POLYMERS (2012)

Article Materials Science, Textiles

Cotton Yarn Engineering Via Fuzzy Least Squares Regression

S. Fattahi et al.

FIBERS AND POLYMERS (2012)

Article Materials Science, Textiles

Development of Prediction System Using Artificial Neural Networks for the Optimization of Spinning Process

Assad Farooq et al.

FIBERS AND POLYMERS (2012)

Article Materials Science, Textiles

Modelling and simulation of an innovative fabric coating process using artificial neural networks

Rocco Furferi et al.

TEXTILE RESEARCH JOURNAL (2012)

Proceedings Paper Materials Science, Multidisciplinary

Prediction of Cotton Ring Yarn Evenness Properties from Process Parameters by Using Artificial Neural Network and Multiple Regression Analysis

Bo Zhao

ADVANCED RESEARCH ON MATERIAL ENGINEERING, ARCHITECTURAL ENGINEERING AND INFORMATIZATION (2012)

Article Materials Science, Textiles

Prediction of Various Functional Finishing Treatments Using Artificial Neural Networks

Eylen Sema Namilgoz et al.

FIBERS AND POLYMERS (2011)

Article Materials Science, Textiles

Prediction of Rotor Spun Yarn Strength Using Support Vector Machines Method

Deogratias Nurwaha et al.

FIBERS AND POLYMERS (2011)

Article Materials Science, Textiles

Using Artificial Neural Network to Predict Colour Properties of Laser-treated 100% Cotton Fabric

O. N. Hung et al.

FIBERS AND POLYMERS (2011)

Article Materials Science, Textiles

Predicting compression and surfaces properties of knits using fuzzy logic and neural networks techniques

Selsabil El-Ghezal Jeguirim et al.

INTERNATIONAL JOURNAL OF CLOTHING SCIENCE AND TECHNOLOGY (2011)

Review Materials Science, Textiles

Applications of artificial intelligence in the apparel industry: a review

Z. X. Guo et al.

TEXTILE RESEARCH JOURNAL (2011)

Article Materials Science, Textiles

A Neural Network Model for Prediction of Strength Loss in Threads during High Speed Industrial Sewing

Vinay Kumar Midha et al.

FIBERS AND POLYMERS (2010)

Article Materials Science, Textiles

Prediction of Cotton Yarn Properties Using Support Vector Machine

Anindya Ghosh et al.

FIBERS AND POLYMERS (2010)

Article Materials Science, Textiles

Bio-degumming optimization parameters of kenaf based on a neural network model

Laijiu Zheng et al.

JOURNAL OF THE TEXTILE INSTITUTE (2010)

Letter Biochemical Research Methods

Efficient maximum likelihood estimator fitting of histograms

Ted A. Laurence et al.

NATURE METHODS (2010)

Article Materials Science, Textiles

The Effect of Fiber Properties on the Characteristics of Spliced Yarns: Part II: Prediction of Retained Spliced Diameter

Pelin Gurkan Unal et al.

TEXTILE RESEARCH JOURNAL (2010)

Article Thermodynamics

Yarn Strength Prediction: A Practical Model Based on Artificial Neural Networks

Rocco Furferi et al.

ADVANCES IN MECHANICAL ENGINEERING (2010)

Article Automation & Control Systems

A hybrid genetic algorithm-adaptive network-based fuzzy inference system in prediction of wave parameters

Morteza Zanaganeh et al.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2009)

Article Automation & Control Systems

Thermal-error modeling for complex physical systems: the-state-of-arts review

J. W. Li et al.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2009)

Article Materials Science, Textiles

An Artificial Neural Network-based Hairiness Prediction Model for Worsted Wool Yarns

Zulfiqar Khan et al.

TEXTILE RESEARCH JOURNAL (2009)

Article Materials Science, Textiles

Prediction of Yarn Properties Using Evaluation Programing

Mehmet Dayik

TEXTILE RESEARCH JOURNAL (2009)

Article Materials Science, Textiles

An Artificial Neural Network Model for the Prediction of Spirality of Fully Relaxed Single Jersey Fabrics

Charlotte Marion Murrells et al.

TEXTILE RESEARCH JOURNAL (2009)

Article Materials Science, Textiles

Comparison of the new methodologies for predicting the CSP strength of rotor yarn

Deogratias Nurwaha et al.

FIBERS AND POLYMERS (2008)

Article Materials Science, Textiles

Modelling of ring yarn unevenness by soft computing approach

Abhijit Majumdar et al.

FIBERS AND POLYMERS (2008)

Article Materials Science, Textiles

Performance of neural network algorithms during the prediction of yarn breaking elongation

Josphat Igadwa Mwasiagi et al.

FIBERS AND POLYMERS (2008)

Article Materials Science, Textiles

Simulating the drawing of spunbonding nonwoven process using an artificial neural network technique

Ting Chen et al.

JOURNAL OF THE TEXTILE INSTITUTE (2008)

Article Materials Science, Textiles

Use of artificial neural networks for determining the leveling action point at the auto-leveiing draw frame

Assad Farooq et al.

TEXTILE RESEARCH JOURNAL (2008)

Article Materials Science, Textiles

Analysis of two modeling methodologies for predicting the tensile properties of cotton-covered nylon core yarns

Ali Akbar Gharehaghaji et al.

TEXTILE RESEARCH JOURNAL (2007)

Article Mathematics, Applied

The virtual manufacturing model of the worsted yarn based on artificial neural networks and grey theory

Xianggang Yin et al.

APPLIED MATHEMATICS AND COMPUTATION (2007)

Article Materials Science, Textiles

Application of artificial neural networks to the prediction of sewing performance of fabrics

Patrick C. L. Hui et al.

INTERNATIONAL JOURNAL OF CLOTHING SCIENCE AND TECHNOLOGY (2007)

Article Materials Science, Textiles

Optimization of the processing conditions and prediction of the quality for dyeing nylon and Lycra blended fabrics

Chung-Feng Jeffrey Kuo et al.

FIBERS AND POLYMERS (2006)

Article Materials Science, Textiles

Predicting seam appearance quality

DZ Pavlinic et al.

TEXTILE RESEARCH JOURNAL (2006)

Article Polymer Science

Artificial neural network modeling for predicting melt blowing processing

T Chen et al.

JOURNAL OF APPLIED POLYMER SCIENCE (2006)

Article Materials Science, Textiles

Mill specific prediction of worsted yarn performance

R. Beltran et al.

JOURNAL OF THE TEXTILE INSTITUTE (2006)

Article Materials Science, Multidisciplinary

Predicting the fibre diameter of melt blown nonwovens: comparison of physical, statistical and artificial neural network models

T Chen et al.

MODELLING AND SIMULATION IN MATERIALS SCIENCE AND ENGINEERING (2005)

Article Materials Science, Textiles

Using fuzzy theory to predict the properties of a melt spinning system

CFJ Kuo et al.

TEXTILE RESEARCH JOURNAL (2004)

Article Materials Science, Textiles

Neural networks: An alternative solution for statistically based parameter prediction

JV Desai et al.

TEXTILE RESEARCH JOURNAL (2004)

Article Polymer Science

Performance of neural networks for predicting yarn properties using principal component analysis

R Chattopadhyay et al.

JOURNAL OF APPLIED POLYMER SCIENCE (2004)

Article Materials Science, Textiles

Predicting worsted spinning performance with an artificial neural network model

R Beltran et al.

TEXTILE RESEARCH JOURNAL (2004)

Article Materials Science, Textiles

Predicting the tensile properties of air-jet spun yarns

YC Zeng et al.

TEXTILE RESEARCH JOURNAL (2004)

Article Automation & Control Systems

A new method for impulsive noise suppression from highly distorted images by using Anfis

E Besdok

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2004)

Review Computer Science, Theory & Methods

A tutorial on support vector regression

AJ Smola et al.

STATISTICS AND COMPUTING (2004)

Article Dentistry, Oral Surgery & Medicine

Indian hedgehog:: A mechanotransduction mediator in condylar cartilage

GH Tang et al.

JOURNAL OF DENTAL RESEARCH (2004)

Article Materials Science, Textiles

Evaluating and comparing the physical properties of spliced yarns by regression and neural network techniques

KPS Cheng et al.

TEXTILE RESEARCH JOURNAL (2003)

Article Chemistry, Applied

Modeling color change after spinning process using feedforward neural networks

L Thevenet et al.

COLOR RESEARCH AND APPLICATION (2003)

Article Computer Science, Artificial Intelligence

Random forests

L Breiman

MACHINE LEARNING (2001)

Article Materials Science, Textiles

Building a rule set for the fiber-to-yarn production process by means of soft computing techniques

S Sette et al.

TEXTILE RESEARCH JOURNAL (2000)

Article Computer Science, Information Systems

An intelligent approach to integration and control of textile processes

S Kim et al.

INFORMATION SCIENCES (2000)