Identification of a Gaussian Fuzzy Classifier |
Heesoo Hwang (School of Electrical Engineering, Halla University) |
1 |
Trainable fuzzy classification systems based on fuzzy if-then rules
/
|
2 |
Obtaining interpretable fuzzy classification rules from medical data
/
DOI |
3 |
Semi-supervised scaled clustering using genetic algorithms
/
|
4 |
Performance evaluation of fuzzy classifier systems for multidimensional pattern classification problems
/
DOI ScienceOn |
5 |
Compact and transparent fuzzy models and classifiers through iterative complexity reduction
/
DOI ScienceOn |
6 |
Evolutionary fuzzy C-means clustering algorithm
/
DOI |
7 |
Genetic fuzzy clustering
/
|
8 |
/
|
9 |
System design by constraint adaptation and differential evolution
/
DOI ScienceOn |
10 |
A fuzzy classifier with ellipsoidal regions for diagnosis problems
/
DOI ScienceOn |
11 |
Using real-valued genetic algorithm to evolve rule sets for classification
/
|
12 |
Fuzzy clustering with genetic search
/
|
13 |
Learning fuzzy classification rules from data
/
|
14 |
Semantic constraints for membership function optimization
/
DOI ScienceOn |
15 |
Nearest prototype classification: clustering, genetic algorithm, or random search
/
DOI ScienceOn |
16 |
A genetic approach for fuzzy clustering with a validity measure function
/
|
17 |
/
|
18 |
Evolutionary fuzzy clustering
/
DOI |
19 |
/
|