Research Explorer

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Researcher

Stefan Sette

Awards & Distinctions

41 Results

2003

Comparing learning classifier systems and genetic programming: A case study

Luc BoullartStefan SetteBart Wyns

Prediction of arthritis using a modified Kohonen mapping and case based learning

Luc BoullartStefan SetteBart WynsDominique BaetenIlse HoffmanFilip De Keyser

2002

Comparing Learning Classifier Systems and Genetic Programming: A Case Study.

Luc BoullartStefan Sette

Optimising the Fibre-to-Yarn Production Process: Finding a Blend of Fibre Qualities to Create an Optimal Price/Quality Yarn.

Stefan SetteLieva Van Langenhove

A2 Journal Article in AUTEX RESEARCH JOURNAL

Soft Computing in Textiles: Present and Future.

Stefan SetteBart WynsLieva Van LangenhoveLuc Boullart

The complex relationships between fibres, production parameters and spinning results

Lieva Van LangenhoveStefan Sette

2001

Digital Printing for Sampling.

Lieva Van LangenhoveStefan SettePaul Bernard

Digital printing for sampling

Lieva Van LangenhoveStefan SettePaul Bernard

FECS: an efficiency based Learning Classifier System applied to an industrial production process

Stefan SetteLuc BoullartLieva Van Langenhove

Genetic programming: principles and applications.

Stefan SetteLuc Boullart

A1 Journal Article in ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

2000

An implementation of genetic algorithms for rule based machine learning.

Stefan SetteLuc Boullart

A1 Journal Article in ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

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

Stefan SetteLuc BoullartLieva Van Langenhove

A1 Journal Article in TEXTILE RESEARCH JOURNAL

Distribution of neps in yarn

K GafurovM HoliyarovJ GafurovLieva Van LangenhoveStefan Sette

A4 Journal Article in H∏AK

FECS: an Efficiency based Learning Classifier System Applied to an Industrial Production Process.

Stefan SetteLuc BoullartLieva Van Langenhove

1999

Modelling the spinning process by means of a fuzzy efficiency based classifier system

Stefan SetteLieva Van Langenhove

Selection of the Best Cotton Blend: The Use of Advanced Techniques.

Els Van NimmenLieva Van LangenhoveStefan Sette

1998

High Performant Learning Classifier Systems

Luc BoullartStefan Sette

Lerende systemen door middel van evolutionaire algoritmen

Stefan SetteP. KiekensL. Boullart

Using genetic algorithms to design a control strategy of an industrial process.

Stefan SetteLuc BoullartLieva Van Langenhove

A1 Journal Article in CONTROL ENGINEERING PRACTICE

1997

Cotton Fibres Free of Contamination

Stefan SetteLieva Van LangenhoveR HABETSJ PRINIOTAKIS

Het gebruik van artificiële intelligentie in textiel

Lieva Van LangenhoveStefan SettePaul Kiekens

A4 Journal Article in UNITEX. TWEEMAANDELIJKS TIJDSCHRIFT VOOR DE TEXTIELINDUSTRIE

Learning Cognitive Systems for Modelling the Spinning Process

Lieva Van LangenhoveStefan SettePaul Kiekens

Optical Sorter-Expert System for the Spinning Industry

Lieva Van LangenhoveStefan SettePaul Kiekens

Optimizing the fiber-to-yarn production process with a combined neural network genetic algorithm approach.

Stefan SetteLuc BoullartLieva Van LangenhovePaul Kiekens

A1 Journal Article in TEXTILE RESEARCH JOURNAL

Planning the Spinning Process by Means of Neural Networks and Genetic Algorithms

F PYNCKELSStefan SetteLieva Van LangenhoveK IMPE

Using Genetic Algorithms to Design an Overall Control Strategy of an Industrial Process

Stefan SetteLuc BoullartLieva Van Langenhove

Using genetic algorithms to design an overall control strategy of an industrial process

Stefan SetteLuc BoullartLieva Van Langenhove

1996

Automatic assessment of carpet wear using image analysis and neural networks.

Wim Van SteenlandtDirk ColletStefan SettePaul BernardR LUNINGL TEZERKH BOHLANDHJ SCHULZ

A1 Journal Article in TEXTILE RESEARCH JOURNAL

Faut Detection and Quality Assessment in Textiles by Means of Neural Nets

Stefan SetteLuc Boullart

A2 Journal Article in INTERNATIONAL JOURNAL OF CLOTHING SCIENCE AND TECHNOLOGY

Modelling relaxation behaviour of yarns .2. Back propagation neural network model.

Lieven VangheluweStefan SettePaul Kiekens

A1 Journal Article in Journal of the Textile Institute

Optimalisering van het vezel-garen proces door middel van genetische algoritmen.

Stefan SetteLieva Van LangenhoveLuc Boullart

Optimisation of the Fibre-to-Yarn Process using Genetic Algorithms

Stefan SetteLieva Van LangenhoveLuc Boullart

Optimisation of the fibre-to-yarn process using genetic algorithms.

Stefan SetteLieva Van LangenhoveLuc Boullart

Optimising a production process by a neural network genetic algorithm approach.

Stefan SetteLuc BoullartLieva Van Langenhove

A1 Journal Article in ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

The use of neural nets to predict yarn tensile properties.

Lieva Van LangenhoveStefan Sette

A1 Journal Article in Journal of the Textile Institute

1995

Fault Detection and Qualtiy Assessment in Textiles by means of Neural Nets.

Stefan SetteLuc Boullart

USE OF NEURAL NETS FOR DETERMINING THE SPINNABILITY OF FIBERS.

F PYNCKELSPaul KiekensStefan SetteLieva Van LangenhoveK IMPE

A1 Journal Article in Journal of the Textile Institute

1994

Comments on 'Using Neural Networks to Predict Dye Concentrations in Multiple-Dye Mixtures

Lieven VangheluweStefan SetteF PYNCKELS

A2 Journal Article in Textile Res. J., 64(3)

Using neural networks to predict dye concentrations in multiple-dye mixtures - comment.

Lieven VangheluweStefan SetteF PYNCKELS

A1 Journal Article in TEXTILE RESEARCH JOURNAL

Learning Classifier Systems for Modelling the Spinning Process. 24th International Cotton Conference Bremen, Faserinstitut e.V., Bremen, 1998, pp. 179-185.

Lieva Van LangenhoveStefan Sette

The Complex Relatinships Between Fibres, Production Parameters and Spinning Results

Lieva Van LangenhoveStefan Sette