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Composite Materials Technology: Neural Network Applications - S.M. Sapuan (Editor), Iqbal Mohammed Mujtaba (Editor)
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S.M. Sapuan (Editor), Iqbal Mohammed Mujtaba (Editor):
Composite Materials Technology: Neural Network Applications - used book

ISBN: 9781420093322

ID: 9781420093322

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 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. Textbooks New, Books~~Technology~~Materials Science, Composite-Materials-Technology~~SM-Sapuan, 999999999, Composite Materials Technology: Neural Network Applications, S.M. Sapuan (Editor), Iqbal Mohammed Mujtaba (Editor), 1420093320, Taylor & Francis, , , , , Taylor & Francis

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Composite Materials Technology - Sapuan, S.M.; Mujtaba, Iqbal Mohammed
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ISBN: 9781420093322

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Application of Artificial Neural Network in Composites Materials, M. Hasan, M.E. Hoque, and S.M. Sapuan Neural Network Approaches for Defect Detection in Composite Materials, T. D'Orazio, M. Leo, and C. Guaragnella The Use of Artificial Neural Networks in Damage Detection and Assessment in Polymeric Composite Structures, S. John, A. Kesavan, and I. Herszberg Damage Identification and Localization of Carbon Fiber-Reinforced Plastic Composite Plate Using Outlier Analysis and Multilayer Perceptron Neural Network, F. Mustapha, S.M. Sapuan, K. Worden, and G. Manson Damage Localization of Carbon FiberReinforced Plastic Composite and Perspex Plates Using Novelty Indices and the Cross-Validation Set of Multilayer Perceptron Neural Network, F. Mustapha, S.M. Sapuan, K. Worden, and G. Manson Impact Damage Detection in a Composite Structure Using Artificial Neural Network, S. Mahzan and W. J. Staszewski Artificial Neural Networks for Predicting the Mechanical Behavior of Cement-Based Composites after 100 Cycles of Aging, E.M. Bezerra, C.A.R. Brito, Jr., A.C. Ancelotti, Jr., and L.C. Pardini Fatigue Life Prediction of Fiber-Reinforced Composites UsingArtificial Neural Networks, H. El Kadi and Y. Al-Assaf Optimizing Neural Network Prediction of Composite Fatigue Life Under Variable Amplitude Loading Using Bayesian Regularization, M.I.P. Hidayat and P.S.M. M. Yusoff Free Vibration Analysis and Optimal Design of the Adhesively Bonded Composite Single Lap and Tubular Lap Joints, M.K. Apalak Determining Initial Design Parameters by Using Genetically Optimized Neural Network Systems, I.N. Tansel, M. Demetgul, and R.L. Sierakowski Development of a Prototype Computational Framework for Selection of Natural Fiber-Reinforced Polymer Composite Materials Using Neural Network, S.M. Sapuan and I.M. Mujtaba Index Technology Technology eBook, CRC Press

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Composite Materials Technology: Neural Network Applications - Editor-S.M. Sapuan; Editor-Iqbal Mohammed Mujtaba
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Composite Materials Technology: Neural Network Applications - hardcover

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Composite Materials Technology - hardcover

2009, ISBN: 9781420093322

ID: 9358092

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Composite Materials Technology: Neural Network Applications

An established area in computer science, neural networks have been used with great success in various branches of scientific and technological research ranging from civil engineering, chemical processing, management, agriculture, space study, and manufacturing. However, the study of neural networks in composite material technology is very new and only limited publications are available on the topic. Bringing together the work of leading researchers, this book provides readers with an understanding of the various applications of artificial neural networks in composite material technology. It covers damage detection, design and analysis, mechanical properties, and materials and process selection.

Details of the book - Composite Materials Technology: Neural Network Applications


EAN (ISBN-13): 9781420093322
ISBN (ISBN-10): 1420093320
Hardcover
Publishing year: 2009
Publisher: CRC PR INC
354 Pages
Weight: 0,658 kg
Language: eng/Englisch

Book in our database since 06.05.2009 20:42:35
Book found last time on 01.08.2017 11:40:39
ISBN/EAN: 9781420093322

ISBN - alternate spelling:
1-4200-9332-0, 978-1-4200-9332-2


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