Solving local minima problem with large number of hidden nodes on two-layered feed-forward artificial neural networks

Author:

Choi Bumghi,Lee Ju-Hong,Kim Deok-Hwan

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference12 articles.

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2. B.C. Cetin, J.W. Burdick, J. Barhen, Global descent replaces gradient descent to avoid local minima problem in learning with ANN, in: Proceedings of the IEEE Conference on NN, vol. 2, 28 March–1 April 1993, pp. 836–842.

3. Handbook of Global Optimization,1995

4. Global optimization by multilevel coordinate search;Huyer;J. Global Optim.,1999

5. Lipschitzian optimization without the Lipschitz constant;Jones;J. Optim. Theory Appl.,1993

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