Knowledge modeling for performance measurement of built environment

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...

Soft Computing in Construction Information Technology

The last decade, civil engineering has exercised a rapidly growing interest in the application of neurally inspired computing techniques. The motive for this interest was the promises of certain information processing characteristics, which are similar to some extend, to those of human brain. The immediate examples of these include an ability to...

Quantifying the Qualitative Design Aspects

Multi-objective design for space layout topology

Pattern Grammar within the Language of Architecture

The next generation of architecture within computer sciences