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Titlebook: Artificial Neural Networks - ICANN 2008; 18th International C Véra Kůrková,Roman Neruda,Jan Koutník Conference proceedings 2008 Springer-Ve

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978-3-540-87535-2Springer-Verlag Berlin Heidelberg 2008
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Improving the Learning Speed in 2-Layered LSTM Network by Estimating the Configuration of Hidden Unifor function approximation tasks. The motivation of this method is based on the behavior of the hidden units and the complexity of the function to be approximated. The results obtained for 1-D and 2-D functions show that the proposed methodology improves the network performance, stabilizing the training phase.
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Natural Conjugate Gradient on Complex Flag Manifolds for Complex Independent Subspace AnalysisRiemannian geometry, propose the natural conjugate gradient method on this class of manifolds. Numerical experiments demonstrate that the natural conjugate gradient method yields better convergence compared to the natural gradient geodesic search method.
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