ABSTRACT
The neural network (NN) is a useful tool for information processing and many other applications. Many textbooks detailing the basic principles, fundamentals, and applications of NNs are available. Due to their unique features of neural networks, NNs can be used to solve complex problems that cannot be handled by analytical approaches, even problems whose underlining physical and mathematical models are not well known. NN techniques have also been used to model the nonlinear and complex relationship between the structure parameters and the dynamic characteristics, and hence are very useful for solving inverse problems related to NDE of material and structural systems.
