Compressive Strength Evaluation of Fiber-Reinforced High-Strength Self-Compacting Concrete with Artificial Intelligence

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Information</td><td class="align_center">Value</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Number of nodes</td><td class="align_center">555</td></tr><tr><td class="align_left">Number of linear parameters</td><td class="align_center">2304</td></tr><tr><td class="align_left">Number of nonlinear parameters</td><td class="align_center">64</td></tr><tr><td class="align_left">Total number of parameters</td><td class="align_center">2368</td></tr><tr><td class="align_left">Number of training data pairs</td><td class="align_center">105</td></tr><tr><td class="align_left">Number of fuzzy rules</td><td class="align_center">256</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Detailed information about the selected ANFIS model.</div>

Advances in Civil Engineering

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Table 5

Table 5: Compressive Strength Evaluation of Fiber-Reinforced High-Strength Self-Compacting Concrete with Artificial Intelligence 