Predicting Ink Transfer Rate of 3D Additive Printing Using EGBO Optimized Least Squares Support Vector Machine Model

<div class="floats-full-page floats-full-page-figure"><h2>Figure 1</h2><div class="floats-full-page-caption"><div>Framework of the EGBO algorithm.</div></div><div class="floats-full-page-content"><table class="figure-group"><tr class="fig-image"><td><object data="https://static-01.hindawi.com/articles/mpe/volume-2020/8642430/figures/8642430.fig.001.svgz" name="8642430.fig.001" type="image/svg+xml"></object></td></tr></table></div></div>

Figure 1 | Predicting Ink Transfer Rate of 3D Additive Printing Using EGBO Optimized Least Squares Support Vector Machine Model

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Figure 1: Predicting Ink Transfer Rate of 3D Additive Printing Using EGBO Optimized Least Squares Support Vector Machine Model

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Figure 1

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<p><em>Mathematical Problems in Engineering</em> is a broad-based journal publishes results of rigorous engineering research across all disciplines, carried out using mathematical tools.</p>


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<p>Chief Editor, Professor Guangming Xie, is currently a full professor of dynamics and control with the College of Engineering, Peking University. His research interests include complex system dynamics and control and intelligent and biomimetic robots.</p>


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