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Theoretical Aspects of Neural Computation: A Multidisciplinary Perspective

International Workshop (TANC'97) Hong Kong, 26-28 May 1997

Kwok-Yee M. Wong, Dit-Yan Yeung (Herausgeber)

Buch | Softcover

320 Seiten

1998 | 1998 ed.
Springer Verlag, Singapore
978-981-3083-70-7 (ISBN)

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Over the past decade or so, neural computation has emerged as a research area with active involvement by researchers from a number of different disciplines, including computer science, engineering, mathematics, neurobiology, physics, and statistics. The workshop brought together researchers with a diverse background to review the current status of neural computation research. Three aspects of neural computation have been emphasized: neuroscience aspects, computational and Mathematical aspects, and statistical physics aspects. This book contains 28 contributions from frontier researchers in these fields. Thoroughly re-edited, and in some cases revised post-workshop, these papers collated into this review volume provide a top-class reference summary of the state-of-the-art work done in this field.

SOME PAPERS PRESENTED: The Natural Gradient Learning Algorithm for Neural Networks (Shun-ichi Amari); Optimal Bayesian Online Learning (Ole Winther & Sara A. Solla), Experts or an Ensemble? A Statistical Mechanics Perspective of Multiple Neural Network Approaches (Jong-Hoon Oh & Kukjin Kang); Stochastic Orientation of the Generating Distribution in Very Fast Simulated Reannealing (Bruce E. Rosen); Primary Cortical Dynamics for Visual Grouping (Zhaoping Li); Information Merging in Neural Modelling (Massimo Battisti et al); The Dynamics of On-Line Learning (Sara A. Solla); A Simple Perceptron that Learns Non-Monotonic Rules (Jun-ichi INOUE et al); Learning Continuous Attractors in Recurrent Networks (H. Sebastian Seung); etc.

Erscheint lt. Verlag	1.6.1998
Zusatzinfo	XI, 320 p.
Verlagsort	Singapore
Sprache	englisch
Gewicht	520 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Themenwelt	Mathematik / Informatik ► Mathematik ► Graphentheorie
ISBN-10	981-3083-70-0 / 9813083700
ISBN-13	978-981-3083-70-7 / 9789813083707
Zustand	Neuware