Application of Neural Networks to Damage Classification in Composite Structures

Smart classification software is designed to process data taken for damaged composite structures such as modern car bodies. This software is used in conjunction with Neural Networks algorithms to provide predictive models for impact damage in composite structures. The developed neural models correlates between various NDT testing techniques, such that in the absence of one technique, its results can be predicted by the Neural Network through interrogation of available data obtained from using other testing methods. Key-Words: Neural Networks, Classification, Damage, Composites, Algorithm, Prediction.