On the classification enhancement of radial basis function networks

Artificial neural networks are powerfultools for analysing information expressed as data sets, which contain complex nonlinear relationships to be identified and classified. In particular radial basis function (RBF) neural networks have outstanding features for this. However, due to far reaching implications of the basis functions in the...

Architectural pattern generation by discrete wavelet transform and utilisation in structural design

Since computers were introduced in architectural design as a valuable tool, there was a growing need to develop tools that would support the designer from the initial phase of the design till the detailing. In a computer aided architectural design environment it is feasible to stimulate the spatial design ideas and create alternatives in an...