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Analysis and test of efficient methods for building recursive deterministic perceptron neural networks.

, , , , and . Neural Networks, 20 (10): 1095-1108 (2007)

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The Generalisation of the Recursive Deterministic Perceptron., , and . IJCNN, page 1776-1783. IEEE, (2006)Analysis and Testing of the m-Class RDP Neural Network., , and . Constructive Neural Networks, volume 258 of Studies in Computational Intelligence, Springer, (2009)Choice effect of linear separability testing methods on constructive neural network algorithms: An empirical study., , and . Expert Syst. Appl., 38 (3): 2330-2346 (2011)Analysis and test of efficient methods for building recursive deterministic perceptron neural networks., , , , and . Neural Networks, 20 (10): 1095-1108 (2007)On the Generalization of the m-Class RDP Neural Network., , and . ICANN (2), volume 5164 of Lecture Notes in Computer Science, page 734-743. Springer, (2008)Linear separability and classification complexity., , , , and . Expert Syst. Appl., 39 (9): 7796-7807 (2012)Estimation of classification complexity., , , , and . IJCNN, page 764-770. IEEE Computer Society, (2009)A Novel and Efficient Method for Testing Non Linear Separability., , and . ICANN (1), volume 4668 of Lecture Notes in Computer Science, page 737-746. Springer, (2007)