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Mostrando ítems 1-6 de 6
Artículo
Feature selection to enhance a two-stage evolutionary algorithm in product unit neural networks for complex classification problems
(Elsevier, 2013)
This paper combines feature selection methods with a two-stage evolutionary classifier based on product unit neural networks. The enhanced methodology has been tried out with four filters using 18 data sets that report ...
Artículo
Incremental Rule Learning and Border Examples Selection from Numerical Data Streams
(Graz University of Technology, Institut für Informationssysteme und Computer Medie, 2005)
Mining data streams is a challenging task that requires online systems based on incremental learning approaches. This paper describes a classification system based on decision rules that may store up–to–date border ...
Artículo
Contemporary training methodologies based on evolutionary artificial neural networks with product and sigmoid neurons for classification
(IOP Press, 2016-04)
This thesis introduces three contributions to train feed-forward neural network models based on evolutionary computation for a classification task. The new methodologies have been evaluated in three-layered neural models, ...
Artículo
Automatic environmental quality assessment for mixed-land zones using lidar and intelligent techniques
(Elsevier, 2011)
Human impact on the natural environment is an evident global fact. Natural, industrial and touristic areas coexist in a more than delicate balance. In Andalusia, in the south of Spain, the Regional Ministry for the ...
Artículo
Merging subsets of attributes to improve a hybrid consistency-based filter: a case of study in product unit neural networks
(Taylor and Francis, 2016)
This paper presents a quality enhancement of the selected features by a hybrid filter-based jointly on feature ranking and feature subset selection (FR-FSS) using a consistency-based measure via merging new features which ...
Artículo
Incremental wrapper-based gene selection from microarray data for cancer classification
(Elsevier, 2006)
Gene expression microarray is a rapidly maturing technology that provides the opportunity to assay the expression levels of thousands or tens of thousands of genes in a single experiment. We present a new heuristic to ...