Pages that link to "Item:Q1286499"
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The following pages link to On the improvement of the real time recurrent learning algorithm for recurrent neural networks (Q1286499):
Displaying 8 items.
- Nonmonotone BFGS-trained recurrent neural networks for temporal sequence processing (Q628894) (← links)
- On-line Gauss-Newton-based learning for fully recurrent neural networks (Q999616) (← links)
- Chaos time-series prediction based on an improved recursive Levenberg-Marquardt algorithm (Q1674355) (← links)
- Investigating the prediction capabilities of the simple recurrent neural network on real temporal sequences (Q1860097) (← links)
- A novel fractional gradient-based learning algorithm for recurrent neural networks (Q2003208) (← links)
- A novel method for speed training acceleration of recurrent neural networks (Q2123560) (← links)
- Obtaining transparent models of chaotic systems with multi-objective simulated annealing algorithms (Q2476746) (← links)
- Neural network approach for identification of Hammerstein systems (Q4454755) (← links)
