Feature reduction using a RBF network for classification of learning styles in first year engineering students
When having a large number of variables in the input of an Artificial Neural Network (ANN), there are different problems in the design, structure and performance of the network itself. Feature reduction is the technique of selecting a subset of 'relevant' features for building robust learn...
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| Lenguaje: | English |
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Universidad de Tarapacá.
2014
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| Acceso en línea: | http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052014000100013 |
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