VII Brazilian Symposium on Neural Networks (SBRN'02) Control of Generalization with a Bi-Objective Sliding Mode Control Algorithm Pernambuco, Brazil November 11-November 14 ISBN: 0-7695-1709-9
This paper presents a new sliding mode control algorithm that is able to guide the trajectory of a Multi-Layer Perceptron (MLP) within the plane formed by the two objectives: training set error and norm of the weight vectors. The results show that the neural networks obtained are able to generate the Pareto set, from which a model with the smallest validation error is selected.
Citation:
Marcelo Azevdo Costa, Antônio Pádua Braga, Benjamin Rodrigues de Menezes, Gustavo Guimarães Parma, Roselito de Albuquerque Teixeria, "Control of Generalization with a Bi-Objective Sliding Mode Control Algorithm," sbrn, pp.38, VII Brazilian Symposium on Neural Networks (SBRN'02), 2002 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||