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Multilayer Perceptron for Robust Nonlinear Interval Regression Analysis Using Genetic Algorithms
Author
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-28
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
On the basis of fuzzy regression, computational models in intelligence such as neural networks have the capability to be applied to nonlinear interval regression analysis for dealing with uncertain and imprecise data.
When training data are not contaminated by outliers, computational models perform well by including almost all given training data in the data interval.
Nevertheless, since training data are often corrupted by outliers, robust learning algorithms employed to resist outliers for interval regression analysis have been an interesting area of research.
Several approaches involving computational intelligence are effective for resisting outliers, but the required parameters for these approaches are related to whether the collected data contain outliers or not.
Since it seems difficult to prespecify the degree of contamination beforehand, this paper uses multilayer perceptron to construct the robust nonlinear interval regression model using the genetic algorithm.
Outliers beyond or beneath the data interval will impose slight effect on the determination of data interval.
Simulation results demonstrate that the proposed method performs well for contaminated datasets.
American Psychological Association (APA)
Hu, Yi-Chung. 2014. Multilayer Perceptron for Robust Nonlinear Interval Regression Analysis Using Genetic Algorithms. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1051812
Modern Language Association (MLA)
Hu, Yi-Chung. Multilayer Perceptron for Robust Nonlinear Interval Regression Analysis Using Genetic Algorithms. The Scientific World Journal No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1051812
American Medical Association (AMA)
Hu, Yi-Chung. Multilayer Perceptron for Robust Nonlinear Interval Regression Analysis Using Genetic Algorithms. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1051812
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1051812