A practical Bayesian framework for backpropagation networks
Neural Computation
Bayesian Learning for Neural Networks
Bayesian Learning for Neural Networks
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Feature Selection and Dualities in Maximum Entropy Discrimination
UAI '00 Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
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In order to predict tool state, this paper introduces the application of feature extraction and feature selection by automatic relevance determination (ARD) to explore the optimal feature set of AE signals in tool condition monitoring system(TCMS). The experiment results confirm that this selected AE feature set is more effective and efficient to recognize tool state over various cutting conditions.