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Composite Materials Technology - Neural Network Applications - S M Sapuan and I M Mujtaba (CRC, 2010) pdf

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 							ISBN 978-1-4200-9332-2
  
  Artificial neural networks (ANN) can provide new insight into the study of
composite materials and can normally be combined with other artificial intelligence tools such as expert system, genetic
algorithm, and fuzzy logic. Because research on this field is very new, there is only a limited amount of published
literature on the subject.
  Compiling information from diverse sources, Composite Materials Technology: Neural
Network Applications fills the void in knowledge of these important networks, covering composite mechanics, materials
characterization, product design, and other important aspects of polymer matrix composites.
  Light weight,
corrosion resistance, good stiffness and strength properties, and part consolidation are just some of the reasons that
composites are useful in areas including civil engineering and structure, chemical processing, management, agriculture,
space study, and manufacturing. ANN has already been used to carry out design prediction, mechanical property
prediction, and selection processes in the evolution of composites, but although it has already been used with great
success in various branches of scientific and technological research, it is still in the nascent stage of its
development.
  Featuring contributions from leading researchers throughout the world, this book is divided into
four parts, starting with an introduction to neural networks and a review of existing literature on the subject. The
text then covers structural health monitoring and damage detection in composites, addresses mechanical properties, and
discusses design, analysis, and materials selection. Training, testing, and validation of experimental data were carried
out to optimize the results presented in the book.
  This book will be an important aid to researchers as they work
on the future implementation of ANN in industries such as aerospace, automotive, marine, sporting goods, furniture, and
electronics and communication. 						

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