Neurocomputing: Learning, Architectures and Modeling (Computer Science, Technology and Applications)

In this book, the authors present topical research in the study of the architectures and modelling in neurocomputing. Topics discussed include a brain-computer interface for analysing investment behaviour and market stability; neural-based image segmentation architecture with execution on a GPU; EEG montages for the diagnosis of Alzheimer's disease; design and training of neural architectures using extreme learning machines; and, the systematic comparison of single and multiple hidden-layer neural networks.