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Training Radial Basis Functions by Gradient Descent.

, , , and . ICAISC, volume 3070 of Lecture Notes in Computer Science, page 184-189. Springer, (2004)

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Hacia un diseño óptimo de la arquitectura Multilayer Feedforward.. Jaume I University, Spain, (2001)Rule Extraction from a Multilayer Feedforward Trained Network via Interval Arithmetic Inversion., , and . IWANN (1), volume 2686 of Lecture Notes in Computer Science, page 622-630. Springer, (2003)Mixing Aveboost and Conserboost to Improve Boosting Methods., , and . IJCNN, page 672-677. IEEE, (2007)Designing a Multilayer Feedforward Ensemble with the Weighted Conservative Boosting Algorithm., , and . IJCNN, page 684-689. IEEE, (2007)Combination Methods for Ensembles of RBFs., , and . ICANN (2), volume 3697 of Lecture Notes in Computer Science, page 121-126. Springer, (2005)Some Experiments with Ensembles of Neural Networks for Classification of Hyperspectral Images., , and . ISNN (1), volume 3173 of Lecture Notes in Computer Science, page 912-917. Springer, (2004)Ensembles of RBFs Trained by Gradient Descent., , and . ISNN (1), volume 3173 of Lecture Notes in Computer Science, page 223-228. Springer, (2004)Designing a New Multilayer Feedforward Modular Network for Classification Problems., , and . IJCNN, page 1284-1289. IEEE, (2006)A comparison between two interval arithmetic learning algorithms., and . IJCNN, page 1293-1297. IEEE, (1999)A Comparison among Weight Initialization Methods for Multilayer Feedforward Networks., and . IJCNN (4), page 543-548. IEEE Computer Society, (2000)0-7695-0619-4.