Neurocomputing: Learning, Architectures & Modeling

Author:   Elizabeth T Mueller
Publisher:   Nova Science Publishers Inc
ISBN:  

9781613246993


Pages:   219
Publication Date:   04 October 2012
Format:   Hardback
Availability:   Awaiting stock   Availability explained
The supplier is currently out of stock of this item. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out for you.

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Neurocomputing: Learning, Architectures & Modeling


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Overview

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.

Full Product Details

Author:   Elizabeth T Mueller
Publisher:   Nova Science Publishers Inc
Imprint:   Nova Science Publishers Inc
Dimensions:   Width: 23.00cm , Height: 1.80cm , Length: 15.50cm
Weight:   0.622kg
ISBN:  

9781613246993


ISBN 10:   1613246994
Pages:   219
Publication Date:   04 October 2012
Audience:   College/higher education ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Awaiting stock   Availability explained
The supplier is currently out of stock of this item. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out for you.

Table of Contents

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.

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