Theoretical aspects of neural computation : a multidisciplinary perspective : International Workshop, TANC'97, Hong Kong, 26-28 May, 1997
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| 111 | 2 | ▼a Hong Kong International Workshop on Theoretical Aspects of Neural Computation: A Multi-disciplinary Perspective ▼d (1997 : ▼c Hong Kong University of Science and Technology) |
| 245 | 1 0 | ▼a Theoretical aspects of neural computation : ▼b a multidisciplinary perspective : International Workshop, TANC'97, Hong Kong, 26-28 May, 1997 / ▼c Kwok-Yee Michael Wong, Irwin King, Dit-Yan Yeung, (eds.). |
| 260 | ▼a Singapore ; ▼a New York : ▼b Springer, ▼c c1998. | |
| 300 | ▼a xi, 320 p. : ▼b ill. ; ▼c 24 cm. | |
| 504 | ▼a Includes bibliographical references and indexes. | |
| 650 | 0 | ▼a Neural networks (Computer science) ▼v Congresses. |
| 650 | 0 | ▼a Neural computers ▼v Congresses. |
| 700 | 1 | ▼a Wong, Kwok-Yee Michael , ▼d 1956- |
| 700 | 1 | ▼a King, Irwin , ▼d 1961- |
| 700 | 1 | ▼a Yeung, Dit-Yan , ▼d 1960- |
| 950 | 1 | ▼b \58918 |
Holdings Information
| No. | Location | Call Number | Accession No. | Availability | Due Date | Make a Reservation | Service |
|---|---|---|---|---|---|---|---|
| No. 1 | Location Science & Engineering Library/Sci-Info(Stacks2)/ | Call Number 006.32 H772t | Accession No. 121042522 | Availability Available | Due Date | Make a Reservation | Service |
Contents information
Book Introduction
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.
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Table of Contents
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.
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