Artificial neural networks in materials modeling



Publication Details

Murugananth, M. (2011). Artificial neural networks in materials modeling. In A. Majumdar (Eds.), Soft Computing in Textile Engineering (pp. 25-44). Cambridge: Woodhead.

Additional Publication Information

Soft computing is an emerging area of inter-disciplinary research. It refers to a collection of computational techniques which study, model and analyze complex phenomena. As many textile engineering problems are inherently complex in nature, soft computing techniques have often provided optimum solutions to these cases. Although soft computing has several facets, it mainly revolves around three techniques including: artificial neural networks, fuzzy logic and genetic algorithms. The book is divided into five parts, covering the entire process of textile production, from fiber manufacture to garment engineering. These include soft computing techniques in yarn manufacture and modeling, fabric and garment manufacture, textile properties and applications and textile quality evaluation.

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