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A genetic algorithm for training recurrent neural networks (1993).
| Content Provider | CiteSeerX |
|---|---|
| Author | Petridis, V. Kazarlis, S. Papaikonomou, A. |
| Abstract | A hybrid genetic algorithm is proposed for training neural networks with recurrent connections. A fully connected recurrent ANN model is employed and tested over a number of various problems. Simulation results are presented for three problems: generation of a stable limit cycle, sequence recognition and storage and reproduction of temporal sequences. |
| File Format | |
| Publisher Date | 1993-01-01 |
| Access Restriction | Open |
| Subject Keyword | Genetic Algorithm Training Recurrent Neural Network Hybrid Genetic Algorithm Stable Limit Cycle Sequence Recognition Simulation Result Temporal Sequence Various Problem Recurrent Ann Model Recurrent Connection Neural Network |
| Content Type | Text |