Case studies of neural networks in engineering applications

In this paper, three case studies of neural networks in engineering applications are presented. First a functional link artificial neural network is constructed for closed shape modelling to extract invariant features to recognise the pattern. The second case deals with a single layer network for the parameter estimation of a transfer function with the frequency response data available. The method is applied to velocity sensor modelling as an application. Finally, a thinning algorithm is realised by a neural network approach.