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A method to estimate prediction intervals for artificial neural networks that is sensitive to the noise distribution in the outputs
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
NSGA-II-trained neural network approach to the estimation of prediction intervals of scale deposition rate in oil & gas equipment
Expert Systems with Applications: An International Journal