[PDF] A Very Fast Learning Method for Neural Networks Based on
and a novel supervised learning algorithm for two-layer feedforward neural networks that presents a high convergence speed is proposed This algorithm, the
An algorithm for fast convergence in training neural networks
In this work, two modifications on Levenberg-Marquardt algorithm for feedforward neural networks are studied One modrfication is made on performance index,
[PDF] 8 Fast Learning Algorithms
Several fast learning algorithms for neural networks work by trying to find the best value of γ which still guarantees convergence Introduction of the momentum
[PDF] Neural Networks: Optimization Part 1
Recap: Gradient Descent Algorithm • In order to Training Neural Nets by Gradient Descent • Gradient For the fastest convergence, ideally, the learning rate
[PDF] Efficient Algorithm for Training Neural Networks with one Hidden
Efficient Algorithm for Training Neural Networks with one Hidden Layer Bogdan M a similar convergence rate as the Lavenberg-Marquardt (LM) method and it is less combines the speed of the Newton algorithm with the stability of the
[PDF] Optic Modified BackPropagation training algorithm for fast - IPCSIT
OMBP: Optic Modified BackPropagation training algorithm for fast convergence of Feedforward Neural Network Omar Charif12+, Hichem Omrani1, and Philippe
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