A predictive model for slip resistance using artificial neural networks
- 1 June 1995
- journal article
- research article
- Published by Taylor & Francis in IIE Transactions
- Vol. 27 (3), 374-381
- https://doi.org/10.1080/07408179508936753
Abstract
This paper describes the formulation, building and validation of an artificial neural network model of the dynamic coefficient of friction (DCOF) as measured by a slip resistance testing device. The model predicts the DCOF as a function of six independent variables over a wide range of conditions. A grouped cross validation method is used to show the consistent performance of the model in predicting the DCOF for new values of the independent variables.Keywords
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