Robust classification techniques for acoustic signal analysis
作者： S. Beck , L. Deuser , J. Ghosh
关键词:
摘要: Artificial neural networks are identified that less sensitive to noisy feature vectors, and provide a sound estimate of the posterior class probabilities. These classifiers include 'optimum brain damage' version multilayer perceptron an elliptical basis function classifier. Since different classification techniques have inductive biases, more accurate robust can be obtained by combining outputs multiple classifiers. Two approaches output combination presented yield better results for real oceanic signals, also detecting outliers 'false alarms'. >
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