A predictive model for slip resistance using artificial neural networks
Janet M. Twomey, Alice E. Smith, Mark S. Redfern · IIE Transactions · 1995
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.