A Neural Network-Based Prediction of Superplasticizers Effect on the Workability and Compressive Characteristics of Portland Pozzolana Cement-Based Mortars

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Properties</td><td class="align_center">LS-based admixture</td><td class="align_center">SNF-based admixture</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">Specific gravity</td><td class="align_center">1.16</td><td class="align_center">1.2</td></tr><tr><td class="align_left">Dry material content (%)</td><td class="align_center">34</td><td class="align_center">41</td></tr><tr><td class="align_left">Chloride content</td><td class="align_center">0.003</td><td class="align_center">0.005</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Properties of superplasticizers.</div>

Advances in Materials Science and Engineering

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Table 4

Table 4: A Neural Network-Based Prediction of Superplasticizers Effect on the Workability and Compressive Characteristics of Portland Pozzolana Cement-Based Mortars 

Table 4 | A Neural Network-Based Prediction of Superplasticizers Effect on the Workability and Compressive Characteristics of Portland Pozzolana Cement-Based Mortars 