Extraction of Rules from Artificial Neural Networks for Nonlinear Regression (2001)

by Rudy Setiono , Wee Kheng Leow , Jacek M. Zurada
Citations:10 - 0 self

Active Bibliography

1 Extraction of Rules from Artificial Neural Networks for Nonlinear Regression – Jacek M. Zurada - 2001
2 Pruned Neural Networks for Regression – Rudy Setiono, Wee Kheng Leow - 2000
8 A Comparison Between Two Neural Network Rule Extraction Techniques for the Diagnosis of Hepatobiliary Disorders – Yoichi Hayashi, Rudy Setiono, Katsumi Yoshida - 2000
1 A General Neural Framework for Classification Rule Mining – Zhi-hua Zhou, Yuan Jiang, Shi-fu Chen - 2001
10 FERNN: An Algorithm for Fast Extraction of Rules from Neural Networks – Rudy Setiono, Wee Kheng Leow - 2000
31 Symbolic Interpretation of Artificial Neural Networks – Ismail Taha, Joydeep Ghosh - 1996
19 Computational Intelligence Methods for Rule-Based Data Understanding – Wlodzislaw Duch, Rudy Setiono, Jacek M. Zurada - 2004
Improving Rule Extraction from Neural Networks by Modifying Hidden Layer Representation – Thuan Q. Huynh
3 Using Rule Extraction to Improve the Comprehensibility of Predictive Models – Johan Huysmans, Bart Baesens, Jan Vanthienen - 2006
1 Bagging and Boosting Negatively Correlated Neural Networks – Md. Monirul Islam, X. Yao, S. M. Shahriar Nirjon, M. Asiful Islam, Kazuyuki Murase - 2008
1 An adaptive merging and growing algorithm for designing artificial neural networks – Md. Monirul Islam, Md. Abdus Sattar, Md. Faijul Amin, Xin Yao, Kazuyuki Murase
12 Exploring Constructive Cascade Networks – N. K. Treadgold, et al. - 1999
7 Rule Extraction: Using Neural Networks or for Neural Networks? – Zhi-hua Zhou - 2004
10 Evaluation and Ordering of Rules Extracted from Feedforward Networks – Ismail Taha, Joydeep Ghosh - 1997
4 Rough-Fuzzy MLP: Modular Evolution, Rule Generation, and Evaluation – Sankar K. Pal, Sushmita Mitra, Senior Member, Pabitra Mitra, Student Member - 2003
1 Knowledge Extraction from Neural Networks Using the All-Permutations Fuzzy Rule Base – Eyal Kolman, Michael Margaliot - 2005
15 Extracting M-of-N Rules from Trained Neural Networks – Rudy Setiono - 2001
10 Binary Rule Generation via Hamming Clustering – Marco Muselli, Diego Liberati - 2002
4 A Statistics based Approach for Extracting Priority Rules from Trained Neural Networks – Z.-H. Zhou, S.-F. Chen, Z.-Q. Chen, Zhi-hua Zhou, Shi-fu Chen, Zhao-qian Chen - 2000