Applications of Artificial Intelligence for Static Poisson’s Ratio Prediction While Drilling

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Parameter</td><td class="align_center">Value</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">n_estimators</td><td class="align_center">100</td></tr><tr><td class="align_left">max_depth</td><td class="align_center">17</td></tr><tr><td class="align_left">max_features</td><td class="align_center">Sqrt</td></tr><tr><td class="align_left">min_samples_split</td><td class="align_center">2</td></tr><tr><td class="align_left">min_samples_leaf</td><td class="align_center">1</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Optimum set of parameters for the RF model.</div>

Computational Intelligence and Neuroscience

tab4

Table 4

Table 4: Applications of Artificial Intelligence for Static Poisson’s Ratio Prediction While Drilling 