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Composite Materials Technology: Neural Network Applications Book

Composite Materials Technology: Neural Network Applications
Composite Materials Technology: Neural Network Applications, 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 , Composite Materials Technology: Neural Network Applications has a rating of 3 stars
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Composite Materials Technology: Neural Network Applications, 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 , Composite Materials Technology: Neural Network Applications
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  • Composite Materials Technology: Neural Network Applications
  • Written by author S.M. Sapuan
  • Published by Taylor & Francis, Inc., December 2009
  • 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
  • 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
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Authors

Preface vii

Acknowledgments ix

Editors xi

Contributors xiii

1 Application of Artificial Neural Network in Composites Materials M. Hasan M. E. Hoque S. M. Sapuan 1

2 Neural Network Approaches for Defect Detection in Composite Materials T. D'Orazio M. Leo C. Guaragnella 11

3 The Use of Artificial Neural Networks in Damage Detection and Assessment in Polymeric Composite Structures S. John A. Kesavan I Herszberg 37

4 Damage Identification and Localization of Carbon Fiber-Reinforced Plastic Composite Plate Using Outlier Analysis and Multilayer Perception Neural Network F. Mustapha S. M. Sapuan K. Worden G. Manson 79

5 Damage Localization of Carbon Fiber-Reinforced Plastic Composite and Perspex Plates Using Novelty Indices and the Cross-Validation Set of Multilayer Perception Neural Network F. Mustapha S. M. Sapuan K. Worden G. Manson 115

6 Impact Damage Detection in a Composite Structure Using Artificial Neural Network S. Mahzan W. J. Staszewski 135

7 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 L. C. Pardini 163

8 Fatigue Life Prediction of Fiber-Reinforced Composites Using Artificial Neural Networks H. El Kadi Y. Al-Assaf 189

9 Optimizing Neural Network Prediction of Composite Fatigue Life Under Variable Amplitude Loading Using Bayesian Regularization M. I. P. Hidayat P. S. M. M. Yusoff 221

10 Free Vibration Analysis and Optimal Design of the Adhesively Bonded Composite Single Lap and Tubular Lap Joints M. K. Apalak 251

11 Determining Initial Design Parameters by Using Genetically Optimized Neural Network Systems I. N. Tansel M.Demetgul R. L. Sierakowski 291

12 Development of a Prototype Computational Framework for Selection of Natural Fiber-Reinforced Polymer Composite Materials Using Neural Network S. M. Sapuan I. M. Mujtaba 317

Index 341


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