Multilayer Perceptrons Constructed of Fuzzy Flip-Flops
| Cím | Multilayer Perceptrons Constructed of Fuzzy Flip-Flops |
| Közlemény típusa | Conference Paper |
| Kiadás éve | 2009 |
| Kiadás nyelve | English |
| Oldalszám | 9-14 |
| Szerzők | Lovassy, R., L. T. Kóczy, and L. Gál |
| Konferencia neve | 4th International Symposium on Computational Intelligence and Intelligent Informatics, ISCIII |
| Konferencia helyszíne | Egypt |
| Összefoglalás | The target of this paper is to propose a hybrid combination of the three main branches of Computational Intelligence, namely Fuzzy Systems, Neural Networks and Evolutionary Computing. The function approximation properties of fuzzy J-K and D flip-flops based feedforward neural network optimized and trained with a novel evolutionary algorithm based technique; the Bacterial Memetic Algorithm with Modified Operator Execution Order (BMAM) is studied. |