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Methods for Improving Generalization and Convergence in Artificial Neural Classifiers
(2011-08-26)
Artificial neural networks have proven to be quite powerful for solving nonlinear classification problems. However, the complex error surfaces encountered in such problems often contain local minima in which gradient based ...