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In this study, the potential of four popular artificial intelligence techniques random forest (RF), Gaussian process (GP), M5P tree and artificial neural network (ANN) are assessed for estimating the strength of stabilized dispersive soil with cement clinker and fly ash. GP, M5P and ANN models were providing a good estimate of performance, whereas the RF model outperforms them. For this study, a dataset...
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