TAILIEUCHUNG - Applications of artificial neural network in textiles

An Artificial Neural Network (ANN) is an information processing paradigm that is inspired by the way biological nervous systems, such as the brain, process information. The key element of this paradigm is the novel structure of the information processing system. It is composed of a large number of highly interconnected processing elements (neurones) working in unison to solve specific problems. The artificial neural network is increasingly used as a powerful tool for many real-world problems. In Textiles and Clothing industries, it involves the interaction of a large number of variables. | 2018 7 4 3134-3143 EXCELLENT PUBLISHERS International Journal of Current Microbiology and Applied Sciences ISSN 2319-7706 Volume 7 Number 04 2018 Journal homepage http Review Article https Applications of Artificial Neural Network in Textiles Neha Chauhan Nirmal Yadav and Nisha Arya Department of Textile and Apparel Designing . College of Home Science CCSHAU Hisar Haryana India Corresponding author ABSTRACT Keywords Artificial neural network Element Article Info Accepted 26 March 2018 Available Online 10 April 2018 An Artificial Neural Network ANN is an information processing paradigm that is inspired by the way biological nervous systems such as the brain process information. The key element of this paradigm is the novel structure of the information processing system. It is composed of a large number of highly interconnected processing elements neurones working in unison to solve specific problems. The artificial neural network is increasingly used as a powerful tool for many real-world problems. In Textiles and Clothing industries it involves the interaction of a large number of variables. Because of the high degree of variability in raw materials multistage processing and a lack of precise control on process parameters the relation between such variables and the product properties is relied on the human knowledge but it is not possible for human being to remember all the details of the process-related data over the years. ANN has proved its usefulness for resolving many problems in textiles such as prediction of yarn properties analysis of fabric defects process optimization etc. The power of neural networks lies in their ability to represent complex relationships and learn them directly from the data being modelled. The ability to predict these properties accurately has become a challenge due to highly non-linear and interactive behaviour of textile materials. The prediction of

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