The polynomial regression model of average rainfall density depended rainfall duration has been approved by Malaysian Storm Water Management Manual.
The theoretical modeling of average PLR in terms of both predictive and nonpredictive modeling is listed here.
The performance of the developed artificial neural network models was compared with the RSM mathematical models of average cutting speed.
The model itself has an advantage over models of average quantities, in that it captures fluctuations of the dynamic variables.
The calculation models of average paste thickness and equivalent water cement ratio can be obtained by the reversal deduction of the two prediction models, respectively.
We use it to build an explanation model of average code maintenance effort that is much more powerful than a model relying on inheritance depth.
The present study aimed to develop the predictive models of average tool-workpiece interface temperature in hard turning of AISI 1060 steels by coated carbide insert.
In this study, an artificial neural network (ANN) based predictive model of average surface roughness in turning hardened EN 24T steel has been presented.
We have also developed an analytical model of average packet delay and packet loss probability of AQM congestion control mechanisms for robust control on an access router for heterogeneous networks.
We conclude that an effective capillary strength parameter is suitable to characterize seepage-related features and processes for use in a prediction model of average seepage into potential waste-emplacement drifts.
