ModelFuzzyPittsBurgh

java.lang.Object
- keel.Algorithms.Fuzzy_Rule_Learning.Genetic.ModelFuzzyPittsBurgh.ModelFuzzyPittsBurgh

```
public class ModelFuzzyPittsBurgh
extends java.lang.Object
```
ModelFuzzyPittsBurgh is intended to generate a Fuzzy Rule Based System (FRBS) classifier using the Pittsburgh genetic algorihm Approach. This class makes used of the following classes: PittsburghModel: the regression model to be learned GeneticAlgorithm: to optimize following the genetic rules. The concrete algorithm used depends on the Steady parameter varying between the GeneticAlgorithmSteady if set, otherwise GeneticAlgorithmGenerational. Detailed in: De Jong, K. A., Learning With Genetic Algorithm: An Overview, Machine Learning, VOL. 3, 1988, pp121-138. Michalewicz, Z., Genetic Algorithms + Data Structures = Evolution Programs, Springer, 1995

Constructors
Constructor and Description
`ModelFuzzyPittsBurgh()`

All Methods Static Methods Concrete Methods
Modifier and Type	Method and Description
`static void`	`main(java.lang.String[] args)` This public static method runs the algorithm that this class concerns with.

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Class ModelFuzzyPittsBurgh