Generating predicate rules from neural networks

被引：0
|
作者：
Nayak, R [1 ]
机构：
[1] Queensland Univ Technol, Ctr Informat Innovat Technol, Brisbane, Qld 4001, Australia
来源：
INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING IDEAL 2005, PROCEEDINGS | 2005年 / 3578卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Artificial neural networks play an important role for pattern recognition tasks. However, due to poor comprehensibility of the learned network, and the inability to represent explanation structures, they are not considered sufficient for the general representation of knowledge. This paper details a methodology that represents the knowledge of a trained network in the form of restricted first-order logic rules, and subsequently allows user interaction by interfacing with a knowledge based reasoner.
引用
收藏
页码：234 / 241
页数：8
相关论文
共 50 条
  • [1] Generating fuzzy if-then rules from trained neural networks: Linguistic analysis of neural networks
    Ishibuchi, H
    Nii, M
    [J]. ICNN - 1996 IEEE INTERNATIONAL CONFERENCE ON NEURAL NETWORKS, VOLS. 1-4, 1996, : 1133 - 1138
  • [2] Generating rules with predicates, terms and variables from the pruned neural networks
    Nayak, Richi
    [J]. NEURAL NETWORKS, 2009, 22 (04) : 405 - 414
  • [3] Generating weighted fuzzy production rules using neural networks
    Fan, Tie-Gang
    Wang, Shu-Tian
    Chen, Jun-Min
    [J]. PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2006, : 3059 - +
  • [4] An effective method for generating multiple linear regression rules from artificial neural networks
    Setiono, R
    Azcarraga, A
    [J]. ICTAI 2001: 13TH IEEE INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2001, : 171 - 178
  • [5] MODELING PRODUCTION RULES BY MEANS OF PREDICATE TRANSITION NETWORKS
    GIORDANA, A
    SAITTA, L
    [J]. INFORMATION SCIENCES, 1985, 35 (01) : 1 - 41
  • [6] Extracting rules from trained neural networks
    Tsukimoto, H
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS, 2000, 11 (02): : 377 - 389
  • [7] Extracting regression rules from neural networks
    Saito, K
    Nakano, R
    [J]. NEURAL NETWORKS, 2002, 15 (10) : 1279 - 1288
  • [8] Extraction of logical rules from neural networks
    Duch, W
    Adamczak, R
    Grabczewski, K
    [J]. NEURAL PROCESSING LETTERS, 1998, 7 (03) : 211 - 219
  • [9] Extracting rules from Boolean Neural Networks
    Ludermir, TB
    de Oliveira, WR
    [J]. ICONIP'98: THE FIFTH INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING JOINTLY WITH JNNS'98: THE 1998 ANNUAL CONFERENCE OF THE JAPANESE NEURAL NETWORK SOCIETY - PROCEEDINGS, VOLS 1-3, 1998, : 1666 - 1669
  • [10] Extraction of Logical Rules from Neural Networks
    Włodzisław Duch
    Rafał Adamczak
    Krzysztof Grąbczewski
    [J]. Neural Processing Letters, 1998, 7 : 211 - 219
12345