DocumentCode
3207701
Title
Control of generalization with a bi-objective sliding mode control algorithm
Author
Costa, Marcelo Azevedo ; Braga, Antônio Pádua ; De Menezes, Benjamin Rodrigues ; Parma, Gustavo Guimarães ; Teixeria, Rde.A.
Author_Institution
Univ. Fed. de Minas Gerais, Belo Horizonte, Brazil
fYear
2002
fDate
2002
Firstpage
38
Lastpage
43
Abstract
This paper presents a new sliding mode control algorithm that is able to guide the trajectory of a multilayer perceptron 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.
Keywords
generalisation (artificial intelligence); learning (artificial intelligence); multilayer perceptrons; optimisation; variable structure systems; Pareto set; generalization; multilayer perceptron; neural networks; sliding mode control; training set error; weight vectors; Backpropagation; Character generation; Constraint optimization; Error correction; Minimization methods; Multilayer perceptrons; Neural networks; Pareto optimization; Sliding mode control; State-space methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2002. SBRN 2002. Proceedings. VII Brazilian Symposium on
Print_ISBN
0-7695-1709-9
Type
conf
DOI
10.1109/SBRN.2002.1181432
Filename
1181432
Link To Document