ANN - Problem Solving Tool in Textiles

M. Saravanan

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ANN - Problem Solving Tool in Textiles

机译：ANN-纺织品问题解决工具

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ANN has proved its usefulness for many problems in textiles such as prediction of yarn properties, analysis of fabric defects, process optimization etc. Advantages of ANN lie in their resilience against distortion in the input data and their capability of learning. Artificial neural network (ANN) is increasingly used as a powerful tool for many real world problems. The prediction of properties or performance of a process in advance is required to minimize the setup cost and time involved. The paper discusses the basics of ANN and its applications in different textile domains.

机译：人工神经网络已证明其对纺织品中许多问题的有用性，例如纱线特性的预测，织物缺陷的分析，工艺优化等。人工神经网络的优势在于其可抵抗输入数据失真的能力和学习能力。人工神经网络（ANN）越来越多地用作解决许多现实问题的强大工具。需要预先预测过程的属性或性能，以最大程度地减少设置成本和时间。本文讨论了人工神经网络的基础及其在不同纺织领域的应用。

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来源
《Colourage》 |2015年第5期|29-34|共6页
作者
M. Saravanan;
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作者单位

Department of Textile Technology, Kumaraguru College of Technology, Saravanampatti Post, Coimbatore - 641 049, India;

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原文格式 PDF
正文语种 eng
中图分类
关键词
yarn properties; process optimization; complex relationships; setup cost; real world problems;

机译：纱线性能工艺优化;复杂的关系;设置成本;现实世界中的问题;

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2. Textile Weaving Order Planning Decision Support Tool Based on Fuzzy Logic [J] . Lindani K Ncube, Takawira R Chikowore, Nqobizitha R Sibanda International Organization of Scientific Research . 2018,第3期

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ANN - Problem Solving Tool in Textiles

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