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Neurocomputing: Learning, Architectures and Modeling
Retail Price: $95.00
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$85.50
Editors: Elizabeth T. Mueller
Book Description:
In this book, the authors present topical research in the study of the architectures and modeling in neurocomputing. Topics discussed include a brain-computer interface for analyzing investment behavior 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. (Imprint: Nova)

Please click on a chapter below to purchase separately

Chapter 1 - Intelligent Market: A Brain-Computer Interface for Analyzing Investment Behavior and Market Stability (pp. 1-31)
Authors / Editors: (Kanata Kinoshita, Kazuhiro Miyagawa, Tetsuya Shimokawa, The Graduate School of Economics, Waseda University, JapanThe Graduate School of Economics, Hitotsubashi University, Japan, and others)

Chapter 2 - Neural-Based Image Segmentation Architecture with Execution on a GPU(pp. 33-65)
Authors / Editors: (M. Martínez-Zarzuela, F.J. Díaz-Pernas, M. Antón-Rodríguez, D. González-Ortega, University of Valladolid, Spain)

Chapter 3 - Learning for Combining Fingerprint Matchers: A Case Study FVC-onGoing (pp. 67-82)
Authors / Editors: (Loris Nanni, Alessandra Lumini, Matteo Ferrara, Raffaele Cappelli, Department of Electronic, Informatics and Systems (DEIS), University of Bologna, Italy)

Chapter 4 - Comparison of EEG Montages for Diagnosis of Alzheimer's Disease using Spectral Features and Support Vector Machines (pp. 83-92)
Authors / Editors: (L.R. Trambaiolli, A.C. Lorena, F.J. Fraga, R. Anghinah, Mathematics, Computing and Cognition Center (CMCC), Universidade Federal do ABC (UFABC)¸ Santo André - SP – Brazil, and others)

Chapter 5 - Portfolio Optimization with Dimension Reduction Techniques: A Comprehensive Simulation Study (pp. 93-118)
Authors / Editors: (Marina Resta, University of Genoa, Italy)

Chapter 6 - Design and Training of Neural Architectures using Extreme Learning Machines (pp. 119-145)
Authors / Editors: (Pedro J. Garcia-Laencina, Andres Bueno-Crespo, Jose-Luis Sancho-Gomez, Centro Universitario de la Defensa, San Javier-Murcia, Spain, and others)

Chapter 7 - Systematic Comparisons of Single- and Multiple-Hidden-Layer Neural Networks (pp. 147-162)
Authors / Editors: (Takehiko Nakama, European Center for Soft Computing, Spain)

Chapter 8 - Learning Multiple ICA Modules for Distributed and Factorial Neural Representations (pp. 163-187)
Authors / Editors: (Jiann-Ming Wu, Pei-Hsun Hsu, Zheng-Han Lin, Department of Applied Mathematics, National Dong Hwa University, Taiwan)

Chapter 9 - Context-Sensitive Recurrent Filters for Visual Motion Analysis (pp. 189-212)
Authors / Editors: (Silvio P. Sabatini, Fabio Solari, Manuela Chessa, Department of Biophysical and Electronic Engineering, University of Genoa, Genoa, Italy)
***Open Access Chapter. Free Download Available***

   Series:
      Computer Science, Technology and Applications
   Binding: Hardcover
   Pub. Date: 2012-September
   Pages: 6 x 9 (NBC - R) 219pp.
   ISBN: 978-1-61324-699-3
   Status: AV
  
Status Code Description
AN Announcing
FM Formatting
PP Page Proofs
FP Final Production
EP Editorial Production
PR At Prepress
AP At Press
AV Available
  
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Neurocomputing: Learning, Architectures and Modeling