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Learning Algorithms for Neural Networks Based on Quasi-Newton Methods With Self-Scaling
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Previous studies have suggested that, for moderate sized neural networks, the use of classical Quasi-Newton methods yields the best convergence properties among all the state-of-the-art [1]. This ...
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