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- Title
Memetic cooperative coevolution of Elman recurrent neural networks.
- Authors
Chandra, Rohitash
- Abstract
Cooperative coevolution decomposes an optimisation problem into subcomponents and collectively solves them using evolutionary algorithms. Memetic algorithms provides enhancement to evolutionary algorithms with local search. Recently, the incorporation of local search into a memetic cooperative coevolution method has shown to be efficient for training feedforward networks on pattern classification problems. This paper applies the memetic cooperative coevolution method for training recurrent neural networks on grammatical inference problems. The results show that the proposed method achieves better performance in terms of optimisation time and robustness.
- Subjects
ARTIFICIAL neural networks; EVOLUTIONARY algorithms; MATHEMATICAL optimization; SEARCH algorithms; FEEDFORWARD neural networks
- Publication
Soft Computing - A Fusion of Foundations, Methodologies & Applications, 2014, Vol 18, Issue 8, p1549
- ISSN
1432-7643
- Publication type
Article
- DOI
10.1007/s00500-013-1160-1