Rule-based Pattern Generation
Rule-Based Pattern Generation is a pattern generation method that systematically produces structured outputs through the application of predefined, deterministic rules that specify the relationships and constraints among elements in the generated patterns.
59
Publications
2.7K
Citations
175
Authors
92
Institutions
Publications per year
2017–2026
8
Parents
59
Extracting M-of-N rules from trained neural networks
Rudy Setiono · IEEE Transactions on Neural Networks · 2000 · 105 citations
1–5 of 59
175
2
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 175
92
National University of Singapore
Singapore, Singapore
3 h-index
4 publications
265 citations
Curtin University
Perth, Australia
2 h-index
2 publications
61 citations
IBM Research - Thomas J. Watson Research Center
Yorktown Heights, United States
2 h-index
7 publications
250 citations

Northwestern Polytechnical University
Xi'an, China
2 h-index
5 publications
193 citations

University of Alberta
Edmonton, Canada
2 h-index
2 publications
61 citations
Institut de Recherche en Informatique et Systèmes Aléatoires
Rennes, France
1 h-index
1 publications
185 citations

University of North Carolina at Charlotte
Charlotte, United States
1 h-index
1 publications
70 citations
Queen's University
Kingston, Canada
1 h-index
2 publications
36 citations
1–8 of 92
3 publications · 72 citations
3
h-index
2 publications · 168 citations
2
h-index
2 publications · 71 citations
2
h-index
2 publications · 130 citations
2
h-index
2 publications · 355 citations
2
h-index
1–5