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The objective of this work is to select artificial neural network models (ANN) automatically with sigmoid basis units for multiclassification tasks. These models are designed using a Memetic Pareto Differential Evolution Neural Network algorithm (MPDENN) based on the Pareto dominance concept. We propose different methodologies to obtain the best model from the Pareto front obtained with the MPDENN...
This paper studies the suitability of Extreme Learning Machines (ELM) for resolving bioinformatic and biomedical classification problems. In order to test their overall performance, an experimental study is presented based on five gene microarray datasets found in bioinformatic and biomedical domains. The Fast Correlation-Based Filter (FCBF) was applied in order to identify salient expression genes...
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