chapter 1 Application of Artificial Neural Network in Composites Materials -- chapter 2 Neural Network Approaches for Defect Detection in Composite Materials -- chapter 3 The Use of Artificial Neural Networks in Damage Detection and Assessment in Polymeric Composite Structures -- chapter 4 Damage Identification and Localization of Carbon Fiber-Reinforced Plastic Composite Plate Using Outlier Analysis and Multilayer Perceptron Neural Network -- chapter 5 Damage Localization of Carbon Fiber–Reinforced Plastic Composite and Perspex Plates Using Novelty Indices and the Cross-Validation Set of Multilayer Perceptron Neural Network / chapter 6 Impact Damage Detection in a Composite Structure Using Artificial Neural Network / chapter 7 Artificial Neural Networks for Predicting the Mechanical Behavior of Cement-Based Composites after 100 Cycles of Aging / chapter 8 Fatigue Life Prediction of Fiber-Reinforced Composites Using Artificial Neural Networks / chapter 9 Optimizing Neural Network Prediction of Composite Fatigue Life Under Variable Amplitude Loading Using Bayesian Regularization / chapter 10 Free Vibration Analysis and Optimal Design of the Adhesively Bonded Composite Single Lap and Tubular Lap Joints / chapter 11 Determining Initial Design Parameters by Using Genetically Optimized Neural Network Systems / chapter 12 Development of a Prototype Computational Framework for Selection of Natural Fiber-Reinforced Polymer Composite Materials Using Neural Network