Encoding subcomponents in cooperative co-evolutionary recurrent neural networks
- 31 October 2011
- journal article
- Published by Elsevier BV in Neurocomputing
- Vol. 74 (17), 3223-3234
- https://doi.org/10.1016/j.neucom.2011.05.003
Abstract
No abstract availableThis publication has 25 references indexed in Scilit:
- RECURRENT NEURAL NETWORKS ARE UNIVERSAL APPROXIMATORSInternational Journal of Neural Systems, 2007
- Cooperative Coevolution of Artificial Neural Network Ensembles for Pattern ClassificationIEEE Transactions on Evolutionary Computation, 2005
- COVNET: a cooperative coevolutionary model for evolving artificial neural networksIEEE Transactions on Neural Networks, 2003
- Scaling up fast evolutionary programming with cooperative coevolutionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Equivalence in knowledge representation: automata, recurrent neural networks, and dynamical fuzzy systemsProceedings of the IEEE, 1999
- Evolving artificial neural networksProceedings of the IEEE, 1999
- Universal Approximation Using Feedforward Neural Networks: A Survey of Some Existing Methods, and Some New ResultsNeural Networks, 1998
- Incremental Evolution of Complex General BehaviorAdaptive Behavior, 1997
- Learning long-term dependencies with gradient descent is difficultIEEE Transactions on Neural Networks, 1994
- Multilayer feedforward networks are universal approximatorsNeural Networks, 1989