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A Supervised Learning Method for Neural Networks Based on Sensitivity Analysis with Automatic Regularization.

, , and . IWANN (1), volume 5517 of Lecture Notes in Computer Science, page 157-164. Springer, (2009)

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A Study on the Scalability of Artificial Neural Networks Training Algorithms Using Multiple-Criteria Decision-Making Methods., and . ICAISC (1), volume 7894 of Lecture Notes in Computer Science, page 162-173. Springer, (2013)LANN-SVD: A Non-Iterative SVD-Based Learning Algorithm for One-Layer Neural Networks., , and . IEEE Trans. Neural Networks Learn. Syst., 29 (8): 3900-3905 (2018)A new convex objective function for the supervised learning of single-layer neural networks., , , and . Pattern Recognit., 43 (5): 1984-1992 (2010)An online learning algorithm for adaptable topologies of neural networks., , , and . Expert Syst. Appl., 40 (18): 7294-7304 (2013)A Functional-Neural Network for Post-Nonlinear Independent Component Analysis., , and . IWANN (1), volume 2084 of Lecture Notes in Computer Science, page 301-307. Springer, (2001)Empirical evaluation of a hybrid intelligent monitoring system using different measures of effectiveness., and . Artif. Intell. Medicine, 24 (1): 71-96 (2002)Scalable feature selection using ReliefF aided by locality-sensitive hashing., , , and . Int. J. Intell. Syst., 36 (11): 6161-6179 (2021)DSVD-autoencoder: A scalable distributed privacy-preserving method for one-class classification., , and . Int. J. Intell. Syst., 36 (1): 177-199 (2021)Fast deep autoencoder for federated learning., , and . Pattern Recognit., (November 2023)Regularized One-Layer Neural Networks for Distributed and Incremental Environments., , and . IWANN (2), volume 12862 of Lecture Notes in Computer Science, page 343-355. Springer, (2021)