Theoretical aspects of neural computation : a multidisciplinary perspective : International Workshop, TANC'97, Hong Kong, 26-28 May, 1997
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| 008 | 971125s1998 si a b 101 0 eng | |
| 010 | ▼a 97046734 | |
| 020 | ▼a 9813083700 : ▼c DEM98.00 | |
| 040 | ▼a DLC ▼c DLC ▼d C#P ▼d OHX ▼d OCL ▼d 211009 | |
| 049 | 1 | ▼l 121042522 ▼f 과학 |
| 050 | 0 0 | ▼a QA76.87 ▼b .H67 1997 |
| 072 | 7 | ▼a QA ▼2 lcco |
| 082 | 0 0 | ▼a 006.3/2 ▼2 21 |
| 090 | ▼a 006.32 ▼b H772t | |
| 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 |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 과학도서관/Sci-Info(2층서고)/ | 청구기호 006.32 H772t | 등록번호 121042522 | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
목차
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.
정보제공 :
