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Neural Network for Predicting Thermal Conductivity of Knit Materials
Neural Network Predicting Thermal Conductivity Knit Materials
2009/7/21
The major aim of comfort research is to find the comfort temperature for an individual or group. This subjective property can be evaluated by means of thermal conductivity as a physical characteristic...
Comparative Analysis of Modeling Methods for Predicting Woven Fabric Properties
artificial neural network empirical modeling mathematical modeling
2009/5/8
Three modeling methodologies based on mathematical, empirical and artificial neural network based on radial basis function have been compared for their ability to predict fabric properties. It has be...
Predicting Texture Image of Covering Fabric for Car Seat by Physical Properties
Covering fabrics Texture Car seat Subjective measurement
2009/4/13
The textures of nine covering fabrics for car seat were evaluated by male students in their twenties and male experts in their fifties using only human tactile sensation, and physical properties of t...
Neural Model of the Spinning Process Dedicated to Predicting Properties of Cotton-Polyester Blended Yarns on The Basis of The Characteristics of Feeding Streams
yarn blends cotton polyester-fibres rotor spinning yarn quality parameters
2009/2/17
The subject of our research were yarns manufactured from cotton-polyester blended slivers, as well as pure cotton and polyester slivers with the use of a BD 200S rotor spinning frame. Partial models o...
Method of Predicting the Pressure Drop on Woven Fabrics
air permeability impact air permeability mathematical model rheology fabrics
2009/2/9
This article presents a mathematical model of pressure drop in woven fabrics, which is caused as the result of impact airflow through the product. The hypothetical time-dependency of the pressure obta...
Neural Model of the Spinning Process for Predicting Selected Properties of Flax/Cotton Yarn Blends
yarn blends flax/cotton blends rotor spinning yarn quality parameters
2009/2/8
This article describes the design of a yarn spinning model based on the use of artificial neural networks, as well as the measurements aimed at collecting the data necessary for this model. Partial mo...