| Fuzzy rule induction in a set covering framework | 11 | 0.61 | 2006 |
| Specialization models for a general fuzzy set covering framework | 0 | 0.34 | 2006 |
| Evaluation function guided search for fuzzy set covering. | 4 | 0.50 | 2004 |
| Heuristic functions for learning fuzzy conjunctive rules. | 5 | 0.47 | 2004 |
| Simultaneous Concept Learning of Fuzzy Rules | 5 | 0.51 | 2004 |
| A machine learning framework for fuzzy set covering algorithms | 2 | 0.38 | 2004 |
| Quantitative Study On Effect Of Center Selection To Rbfnn Classification Performance | 3 | 0.56 | 2004 |
| Knowledge-based neurocomputing in medicine | 0 | 0.34 | 2003 |
| Neural networks, financial trading and the efficient markets hypothesis | 12 | 1.13 | 2002 |
| Automatic acquisition of two-level morphological rules | 16 | 3.07 | 1997 |
| Generalized Hopfield networks for associative memories with multi-valued stable states | 24 | 4.01 | 1996 |
| BEXA: a covering algorithm for learning propositional concept descriptions | 22 | 1.26 | 1996 |
| Automatic Scaling using Gamma Learning for Feedforward Neural Networks | 3 | 0.43 | 1995 |
| Extracting DNF Rules from Artificial Neural Networks | 0 | 0.34 | 1995 |
| Determining the Significance of Input Parameters using Sensitivity Analysis | 20 | 1.48 | 1995 |
| Incremental increased complexity training. | 1 | 0.38 | 1994 |
| Increased Complexity Training | 2 | 0.41 | 1993 |
| An Empirical-Evaluation Of Beam Search And Pruning In Bexa | 2 | 0.41 | 1993 |
