The Radial Basis Function (RBF) neural network has gained in popularity over recent years because of its rapid training and its desirable properties in classification and functional approximation applications. RBF network research has focused on enhanced training algorithms and variations on the basic architecture to improve the performance of the network. In addition, the RBF network is proving to be a valuable tool in a diverse range of application areas, for example, robotics, biomedical engineering, and the financial sector. The two volumes provide a comprehensive survey of the latest...

There is a trend to offer courses by virtual means. This approach has definite advantages. For example, virtual programs target professionals who would otherwise have to leave their jobs to pursue the degree. An enormous proportion of universities are in the process of developing courses in a virtual environment.

This book deals with virtual environments for teaching and learning. The chapters can be considered to be representative of the many approaches taken and the diversity of applications. The different perspectives and different solutions adopted are the result of intense research in...

The Radial Basis Function (RBF) neural network has gained in popularity over recent years because of its rapid training and its desirable properties in classification and functional approximation applications. RBF network research has focused on enhanced training algorithms and variations on the basic architecture to improve the performance of the network. In addition, the RBF network is proving to be a valuable tool in a diverse range of application areas, for example, robotics, biomedical engineering, and the financial sector. The two volumes provide a comprehensive survey of the latest...