Biomedical Engineering Systems and Technologies by Ana Fred, Joaquim Filipe, Hugo Gamboa

By Ana Fred, Joaquim Filipe, Hugo Gamboa

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Dyn. in Processes & Sys. SCI, vol. 180, pp. 119–135. Springer, Heidelberg (2009) 25. : The ABCD rule of dermatoscopy. High prospective value in the diagnosis of doubtful melanocytic skin lesions. Journal of the American Academy of Dermatology 30(4), 551–559 (1994) 26. : Optimal ensemble averaging of neural networks. Network, Comp. Neural Sys. 8, 283–296 (1997) 27. : When Networks Disagree: Ensemble Methods for Hybrid Neural Networks. J. ) Neural Networks for Speech and Image Processing, pp. 126–142.

In the current research, a feed-forward network is applied: the classic multilayer perceptron (MLP), as is more often used for emotion recognition purposes; see also Table 2. , their topology, learning rules, and the choice of either synchronous or asynchronously updating of its units. More information on ANN can be found in various introductions on ANN. 6 Leave-One-Out Cross Validation (LOOCV) Assume we have a classifier that is trained, using a part of the available data set: the training data.

93%). All the results were slightly worse than with the k-NN classifier. 3 Artificial Neural Networks (ANN) We have used a multi-layer perceptron (MLP) trained by a back-propagation algorithm that was implemented in the neural network toolbox of MATLAB2 ; see also Sect. 3. It used gradient descent with moment and adaptive training parameter. We have tried to recognize only the inputs that performed best with the k-NN classifier. In order to assess what topology of ANN was most suitable for the task, we conducted small experiments with both 1 and 2 hidden layers.

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