Quasi Optimization of Fuzzy Neural Networks
| Title | Quasi Optimization of Fuzzy Neural Networks |
| Publication Type | Conference Paper |
| Year of Publication | 2009 |
| Publication Language | English |
| Pagination | 303-314 |
| Authors | Lovassy, R., L. T. Kóczy, and L. Gál |
| Conference Name | 10th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI |
| Conference Location | Budapest, Hungary |
| Abstract | The fuzzy flip-flop based multilayer perceptron, named Fuzzy Neural Network, FNN is proposed for function approximation. In recent years much effort has been made for the development of a special kind of bacterial memetic algorithm for optimization and training of the fuzzy neural network parameters. In this approach the FNN parameters have been encoded in a chromosome and participate in the bacterial mutation cycle. The quasi optimized FNN’s performance based on various fuzzy flip-flop types has been examined with a series of multidimensional input functions. |