Grammar-Mediated Time-Series Prediction

Brabazon, Anthony; Meagher, Karoline A; Carty, E.; O’Neill, Michael; Keenan, Peter

doi:10.1515/jisys.2005.14.2-3.123

Cited by 3 publications

(1 citation statement)

References 17 publications

(12 reference statements)

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“…A total of four test datasets were used in our investigations, two drawn from the UCI machine learning repository [16], and two financial datasets which have been used in prior studies [17], [18], [19], [20]. All of the datasets consist of a binary classification problem and have between eight and thirty input variables.…”

Section: Experimental Approachmentioning

confidence: 99%

Designing Radial Basis Function Networks for Classification Using Differential Evolution

O'Hora¹,

Perera²,

Brabazon³

The 2006 IEEE International Joint Conference on Neural Network Proceedings

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The construction of a quality RBF network for a specific application can be a time-consuming process as the modeller must select both a suitable set of inputs and a suitable RBF network structure. Evolutionary methodologies offer the potential to automate all or part of these steps. This study illustrates how a hybrid RBFN-DE system can be constructed, and applies the system to a number of datasets. The utility of the resulting RBFNs on these classification problems is assessed and the results from the RFBN-DE hybrids are shown to be competitive against the best performance on these datasets using alternative classification methodologies.

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Section: Experimental Approachmentioning

confidence: 99%