World Congress on Neural Networks: 1993 International Neural Network Society Annual Meeting
Author:   INNS
Publisher:   Taylor & Francis Inc
ISBN:  

9780805814972


Pages:   3812
Publication Date:   01 July 1993
Format:   Hardback
Availability:   Awaiting stock   Availability explained


Our Price $580.80 Quantity:  
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World Congress on Neural Networks: 1993 International Neural Network Society Annual Meeting


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Overview

general chair: George G. Lendaris, Portland State University program chairs: Stephen Grossberg, Boston University Bart Kosko, University of Southern California Formed in 1987 in response to the extraordinary international interest in neural network research, INNS includes among its founders many of the most distinguished leaders of the field. The World Congress on Neural Networks was held to bring together academic scientists, students, industrial commercializers and financers in an open forum for the advancement of the full spectrum of significant neural network research and development, from biology through technology.

Full Product Details

Author:   INNS
Publisher:   Taylor & Francis Inc
Imprint:   Psychology Press
Dimensions:   Width: 22.20cm , Height: 7.50cm , Length: 28.60cm
Weight:   3.447kg
ISBN:  

9780805814972


ISBN 10:   0805814973
Pages:   3812
Publication Date:   01 July 1993
Audience:   College/higher education ,  General/trade ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  General
Format:   Hardback
Publisher's Status:   Out of Print
Availability:   Awaiting stock   Availability explained

Table of Contents

Main Topics include: Volume I: Biological Vision. Applications I. Applications II. SME/INNS Track. Intelligent Neural Systems. Volume II: Neural Fuzzy Systems. Cognitive Neuroscience. Associative Memory. Unsupervised Learning. Local Circuit Neurobiology. IFSA/INNS Track. Volume III: Speech and Language. Robotics and Control. Supervised Learning I. Supervised Learning II. Machine Vision. Volume IV: Pattern Recognition. Neurodynamics. Biological Sensory-Motor Control. Signal Processing. Electro-Optical Neurocomputers.

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