Global descent replaces gradient descent to avoid local minima problem in learning with artificial neural networks - researchr publication authors

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Bedri C. Cetin, Joel W. Burdick, Jacob Barhen. Global descent replaces gradient descent to avoid local minima problem in learning with artificial neural networks. In Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28 - April 1, 1993. pages 836-842, IEEE, 1993. [doi]

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