Novel Intelligent Approach for Peak Shear Strength Assessment of Rock Joints on the Basis of the Relevance Vector Machine

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left">Kernel function type</td><td class="align_center"><svg height="14.9347pt" id="M95" style="vertical-align:-5.52896pt" version="1.1" viewbox="-0.0498162 -9.40574 61.4492 14.9347" width="61.4492pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M493 503C489 551 484 614 483 650H43V622C120 616 128 611 128 525V126C128 40 120 34 40 28V0H312V28C221 34 213 40 213 126V307H316C407 307 412 296 424 227H453V420H424C412 355 407 346 316 346H213V584C213 613 216 616 246 616H322C398 616 419 607 436 579C449 559 455 539 464 499L493 503Z"></path></g><g transform="matrix(.013,0,0,-0.013,6.877,0)"><path d="M135 536C164 536 186 560 186 587C186 617 164 639 136 639C109 639 85 617 85 587C85 560 109 536 135 536ZM252 0V26C188 32 181 38 181 106V451C138 433 90 420 39 412V388C99 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class="align_left">Linear</td><td class="align_center">14.98</td><td class="align_center">0.856</td><td class="align_center">0</td></tr><tr><td class="align_left">Polynomial</td><td class="align_center">12.41</td><td class="align_center">0.957</td><td class="align_center">3</td></tr><tr><td class="align_left">Gaussian</td><td class="align_center">12.24</td><td class="align_center">0.956</td><td class="align_center">1</td></tr><tr><td class="align_left">Sigmoid</td><td class="align_center">13.44</td><td class="align_center">0.952</td><td class="align_center">2</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Kernel function parameters and average estimation errors.</div>

Mathematical Problems in Engineering

tab5

Table 5

Table 5: Novel Intelligent Approach for Peak Shear Strength Assessment of Rock Joints on the Basis of the Relevance Vector Machine 