搜索结果: 1-11 共查到“纺织科学技术 Neural”相关记录11条 . 查询时间(0.196 秒)
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...
Prediction of Properties of Unknotted Spliced Ends of Yarns Using Multiple Regression and Artificial Neural Networks. Part II: Veri.cation of Regression Models
layer diagrams surface diagrams learning quality validation quality
2009/6/16
A verification of regressive models based on artificial neural networks and multiple regression
analysis was carried out. The analysis of the results obtained showed that artificial
neural networks ...
Prediction of Properties of Unknotted Spliced Ends of Yarns Using Multiple Regression and Artificial Neural Networks. Part I: Identification of Spliced Joints of Combed Wool Yarn by Artificial Neural Networks and Multiple Regression
combed wool yarn pneumatically spliced joints additive quantities
2009/6/15
Applying the software environment Statistica for neural networks allowed the use of artificial
neural networks and regression analysis to predict the physical properties of unknotted
joints of yarn ...
Development of an Expert System for Cocoon Cooking by using Neural Network Technology
cooking expert system neural network optimization reeling
2009/3/12
The cocoon-cooking process is an important contributor to producing high-quality raw silk, but it is difficult to set its conditions. We have attempted to develop a system for optimizing the processin...
Determination of Pigment Combinations for Textile Printing Using Artificial Neural Networks
neural network colorimetry colour combinations textile printing
2009/2/18
This paper demonstrates the possibility of using counter-propagation neural networks to identify the combinations of dyes in textile printing paste formulations. An existing collection of 1430 printed...
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...
Prediction of Fuzz Fibres on Fabric Surface by Using Neural Network and Regression Analysis
fabric fuzz image processing neural network regression analyses
2009/2/13
Fuzz on the fabric surface is very important for appearance quality, since it can lead to pilling and an unpleasant handle and appearance. Thus, it is important to predict the fuzz value on the fabric...
The Prediction of Elongation and Recovery of Woven Bi-Stretch Fabric Using Artificial Neural Network and Linear Regression Models
woven fabric elongation recovery artificial neural network
2009/2/11
Stretch woven fabrics are widely used because of their good elongation and recovery (residual extension) properties. Several parameters and test method are used to measure the properties of these fabr...
Identification and Classification of Spliced Wool Combed Yarn Joints by Artificial Neural Networks. Part II: Interpretation of Identification and Classification Results of the Unknotted Spliced Yarn Joints
spliced yarn joint wool combed yarn yarn identification joint classification
2009/2/8
In the first part of the article an Artificial Neural Network (ANN) model designed to recognise and classify pneumatically spliced yarn joints was presented. The effectiveness of recognition and class...
Identification and Classification of Spliced Wool Combed Yarn Joints by Artificial Neural Networks. Part I: Developing an Artificial Neural Network Model
spliced yarn joints wool combed yarn yarn identification joint classification
2009/2/8
A new artificial neural network (ANN) has been created, similar to the ADALINE-type network,
with linear activation function and bubble error sorting, designed to recognise and classify pneumatically...
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...