BIASED LEARNING IN BOOLEAN PERCEPTRONS

被引：4
|
作者：
KINOUCHI, O [1 ]
CATICHA, N [1 ]
机构：
[1] UNIV SAO PAULO,BR-05508 SAO PAULO,BRAZIL
来源：
PHYSICA A | 1992年 / 185卷 / 1-4期
关键词：
D O I：
10.1016/0378-4371(92)90482-6
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
The generalization ability of Hebbian Boolean perceptrons can be improved by a kind of feedback mechanism in which the student net judges the difficulty of a new example from its previous experience. It is shown that by giving a higher weight to the hard examples both generalization and learning abilities can be increased. Analytical as well as numerical results are presented for both cases where the examples are drawn at random or selected in an intelligent form.
引用
收藏
页码：411 / 416
页数：6
相关论文
共 50 条
  • [31] EM learning algorithm for multilayer stochastic perceptrons
    Jisuanji Yanjiu yu Fazhan, 11 (808-815):
  • [32] Mean field theory of learning in pruned perceptrons
    Wong, KYM
    THEORETICAL ASPECTS OF NEURAL COMPUTATION: A MULTIDISCIPLINARY PERSPECTIVE, 1998, : 93 - 102
  • [33] Extreme learning machine with parallel layer perceptrons
    Tavares, L. D.
    Saldanha, R. R.
    Vieira, D. A. G.
    NEUROCOMPUTING, 2015, 166 : 164 - 171
  • [34] Dynamics of learning in multilayer perceptrons near singularities
    Cousseau, Florent
    Ozeki, Tomoko
    Amari, Shun-ichi
    IEEE TRANSACTIONS ON NEURAL NETWORKS, 2008, 19 (08): : 1313 - 1328
  • [35] Fast Learning Network with Parallel Layer Perceptrons
    Li, Guoqiang
    Qi, Xiaobin
    Chen, Bin
    Ma, Yunpeng
    Niu, Peifeng
    Chen, Zhiwang
    NEURAL PROCESSING LETTERS, 2018, 47 (02) : 549 - 564
  • [36] Ensemble learning of linear perceptrons: On-line learning theory
    Hara, K
    Okada, M
    JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN, 2005, 74 (11) : 2966 - 2972
  • [37] LEARNING ALGORITHMS FOR PERCEPTRONS FROM STATISTICAL PHYSICS
    GORDON, MB
    PERETTO, P
    BERCHIER, D
    JOURNAL DE PHYSIQUE I, 1993, 3 (02): : 377 - 387
  • [38] Statistical mechanical analysis of the dynamics of learning in perceptrons
    Mace, CWH
    Coolen, ACC
    STATISTICS AND COMPUTING, 1998, 8 (01) : 55 - 88
  • [39] Learning and generalization in higher-order perceptrons
    Yoon, H
    Oh, JH
    PHILOSOPHICAL MAGAZINE B-PHYSICS OF CONDENSED MATTER STATISTICAL MECHANICS ELECTRONIC OPTICAL AND MAGNETIC PROPERTIES, 1998, 77 (05): : 1557 - 1563
  • [40] Learning noisy perceptrons by a perceptron in polynomial time
    Cohen, E
    38TH ANNUAL SYMPOSIUM ON FOUNDATIONS OF COMPUTER SCIENCE, PROCEEDINGS, 1997, : 514 - 523
12345