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Neurocomputing: Learning, Architectures & Modeling

Editat de Elizabeth T Mueller
en Limba Engleză Hardback – 4 oct 2012
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.
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Specificații

ISBN-13: 9781613246993
ISBN-10: 1613246994
Pagini: 219
Ilustrații: Illustrations
Dimensiuni: 230 x 155 x 19 mm
Greutate: 0.62 kg
Ediția:New.
Editura: Nova Science Publishers Inc
Colecția Nova Science Publishers, Inc (US)
Locul publicării:United States

Cuprins

Preface; Intelligent Market: A Brain-Computer Interface for Analyzing Investment Behavior & Market Stability; Neural-Based Image Segmentation Architecture with Execution on a GPU; Learning for Combining Fingerprint Matchers: A Case Study FVC-onGoing; Comparison of EEG Montages for Diagnosis of Alzheimer's Disease using Spectral Features & Support Vector Machines; Portfolio Optimization with Dimension Reduction Techniques: A Comprehensive Simulation Study; Design & Training of Neural Architectures using Extreme Learning Machines; Systematic Comparisons of Single- & Multiple-Hidden-Layer Neural Networks; Learning Multiple ICA Modules for Distributed & Factorial Neural Representations; Ontologies & Neural Associative Networks; Index.