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Designing a New Multilayer Feedforward Modular Network for Classification Problems.

, , и . IJCNN, стр. 1284-1289. IEEE, (2006)

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Roberto Carlos Retana Hernández

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New Results on Combination Methods for Boosting Ensembles., , и . ICANN (1), том 5163 из Lecture Notes in Computer Science, стр. 285-294. Springer, (2008)Using Bagging and Cross-Validation to Improve Ensembles Based on Penalty Terms., , и . ICONIP (2), том 7063 из Lecture Notes in Computer Science, стр. 588-595. Springer, (2011)Improving Boosting Methods by Generating Specific Training and Validation Sets., , и . ICONIP (2), том 7063 из Lecture Notes in Computer Science, стр. 580-587. Springer, (2011)Optimal Use of a Trained Neural Network for Input Selection., и . IWANN (2), том 1607 из Lecture Notes in Computer Science, стр. 506-515. Springer, (1999)Weight initialization methods for multilayer feedforward., и . ESANN, стр. 119-124. (2001)A new rule extraction algorithm based on interval arithmetic., , и . ESANN, стр. 155-160. (2003)Designing a Multilayer Feedforward Ensembles with Cross Validated Boosting Algorithm., , и . IJCNN, стр. 1278-1283. IEEE, (2006)Generalization capability of one and two hidden layers., и . IJCNN, стр. 1840-1843. IEEE, (1999)Multilayer Feedforward Ensembles for Classification Problems., , и . ICONIP, том 3316 из Lecture Notes in Computer Science, стр. 744-749. Springer, (2004)Training Radial Basis Functions by Gradient Descent., , , и . ICAISC, том 3070 из Lecture Notes in Computer Science, стр. 184-189. Springer, (2004)