Abstract
This paper presents the effectiveness of multilayer perceptron (MLP) networks for estimation of blasting vibration using past observations of various blasting parameters. Here we propose a fusion network that combines several MLPs and on-line feature selection technique to obtain more reliable and accurate estimation over the empirical models.
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© 2004 Springer-Verlag Berlin Heidelberg
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Chakraborty, A.K., Guha, P., Chattopadhyay, B., Pal, S., Das, J. (2004). A Fusion Neural Network for Estimation of Blasting Vibration. In: Pal, N.R., Kasabov, N., Mudi, R.K., Pal, S., Parui, S.K. (eds) Neural Information Processing. ICONIP 2004. Lecture Notes in Computer Science, vol 3316. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30499-9_156
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DOI: https://doi.org/10.1007/978-3-540-30499-9_156
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23931-4
Online ISBN: 978-3-540-30499-9
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