Information Sciences: an International Journal
Damage identification for beams using ANN based on statistical property of structural responses
Computers and Structures
WSEAS Transactions on Computers
Reduced-set vector-based interval type-2 fuzzy neural network
WSEAS Transactions on Computers
A new technique for detecting dental diseases by using high speed artificial neural networks
WSEAS Transactions on Computers
Modal learning neural networks
WSEAS Transactions on Computers
WSEAS Transactions on Computers
WSEAS Transactions on Computers
System reliability forecasting by support vector machines with genetic algorithms
Mathematical and Computer Modelling: An International Journal
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Unified Smart Classification Algorithm (USCA) for the purpose of data processing and classification of data obtained from different testing techniques is designed and tested. The developed algorithm conditions data taken from damaged composite structures such as modern car bodies and Plane frame structure. It is used in conjunction with a Modified Weight Elimination Neural Networks Algorithm (MWEA) to provide predictive models for impact damage in composite structures. The developed neural models correlated between various NDT testing techniques, such that in the absence of one technique, its results are predicted by the Neural Network through interrogation of available data obtained using other testing methods. The real and predicted data showed good agreements in terms of classification and prediction.