Reconstruct the Support Vectors to Improve LSSVM Sparseness for Mill Load Prediction

<div>RMSE% against <svg height="9.01194pt" id="M200" style="vertical-align:-0.2455397pt" version="1.1" viewbox="-0.0498162 -8.7664 21.7214 9.01194" width="21.7214pt" 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="M448 453H361L394 608H355L322 453H214L248 608H210L176 453H79L70 395H163L134 259H35L24 201H120L82 27H120L158 201H266L229 27H267L305 201H395L404 259H318L348 395H439L448 453ZM310 395L280 259H173L202 395H310Z" id="g121-33"></path><glyph.data ascent="989" descent="-360" horiz-adv-x="480" vert-adv-y="480" xpluscharwidth="6.24"></glyph.data></g><g transform="matrix(.013,0,0,-0.013,6.24,0)"><path d="M409 504C401 567 396 607 392 642C354 654 312 665 266 665C137 665 60 583 60 487C60 374 161 325 225 290C300 250 355 215 355 141C355 68 311 21 235 21C131 21 86 122 71 183L41 176C48 128 61 42 68 21C78 16 93 8 118 0C142 -7 175 -15 216 -15C349 -15 438 69 438 174C438 287 344 333 265 374C186 414 138 449 138 522C138 576 172 631 249 631C336 631 363 562 380 499L409 504Z" id="g121-81"></path><glyph.data ascent="989" descent="-360" horiz-adv-x="474" vert-adv-y="474" xpluscharwidth="12.402000000000001"></glyph.data></g><g transform="matrix(.013,0,0,-0.013,12.402,0)"><path d="M687 650H462V622C543 612 549 605 530 547C498 447 422 252 372 126H370C302 298 229 492 204 563C188 607 191 615 262 622V650H17V622C77 616 93 608 122 534C180 389 262 172 329 -11H360C436 196 541 450 568 516C606 605 619 614 687 622V650Z" id="g121-84"></path><glyph.data ascent="989" descent="-360" horiz-adv-x="703" vert-adv-y="703" xpluscharwidth="21.540999999999997"></glyph.data></g></svg> on mill load data set.</div>

Mathematical Problems in Engineering

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Figure 5

Figure 5: Reconstruct the Support Vectors to Improve LSSVM Sparseness for Mill Load Prediction 