A Sensitivity-Based Improving Learning Algorithm for Madaline Rule II

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td align="left">Measures</td><td align="center">Sequence of  Adalines in hidden layer </td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td align="left">Number of varied output elements in simulation</td><td align="center"><span style="width: 133.079ptpx;"><svg height="8.91176pt" id="M81" style="vertical-align:-0.2130003pt" version="1.1" viewbox="-0.0498162 -8.69876 133.079 8.91176" width="133.079pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.0135,0,0,-0.0135,0,0)"><path d="M412 140C382 77 369 73 315 73H129L270 222C362 320 402 379 402 466C402 571 322 635 234 635C177 635 130 609 99 576L42 495L64 475C90 514 133 568 201 568C274 568 318 519 318 435C318 349 255 267 193 193C144 135 87 78 32 23V0H405C417 45 427 89 440 131L412 140Z" id="g113-51"></path><glyph.data ascent="3473" descent="-2876" horiz-adv-x="480" vert-adv-y="480"></glyph.data></g><g transform="matrix(.0135,0,0,-0.0135,12.559,0)"><path d="M901 255C861 290 790 361 716 442L694 427L796 280H69V230H796L694 83L716 68C790 149 861 220 901 255Z" id="g117-148"></path><glyph.data ascent="3473" descent="-2876" horiz-adv-x="954" vert-adv-y="954"></glyph.data></g><g transform="matrix(.0135,0,0,-0.0135,31.54,0)"><path d="M384 0V27C293 34 287 42 287 114V635C232 613 172 594 109 583V559L157 557C201 555 205 550 205 499V114C205 42 199 34 109 27V0H384Z" id="g113-50"></path><glyph.data ascent="3473" descent="-2876" horiz-adv-x="480" vert-adv-y="480"></glyph.data></g><g transform="matrix(.0135,0,0,-0.0135,44.099,0)"><path d="M901 255C861 290 790 361 716 442L694 427L796 280H69V230H796L694 83L716 68C790 149 861 220 901 255Z" id="g117-148"></path><glyph.data ascent="3473" descent="-2876" horiz-adv-x="954" vert-adv-y="954"></glyph.data></g><g transform="matrix(.0135,0,0,-0.0135,63.08,0)"><path d="M456 178V225H360V632H320C217 496 115 347 20 206V178H280V106C280 40 276 34 189 27V0H445V27C364 34 360 39 360 106V178H456ZM280 225H82C149 335 214 431 278 520H280V225Z" id="g113-53"></path><glyph.data ascent="3473" descent="-2876" horiz-adv-x="480" vert-adv-y="480"></glyph.data></g><g transform="matrix(.0135,0,0,-0.0135,75.64,0)"><path d="M901 255C861 290 790 361 716 442L694 427L796 280H69V230H796L694 83L716 68C790 149 861 220 901 255Z" id="g117-148"></path><glyph.data ascent="3473" descent="-2876" horiz-adv-x="954" vert-adv-y="954"></glyph.data></g><g transform="matrix(.0135,0,0,-0.0135,94.621,0)"><path d="M153 550H386L412 615L406 623H120L82 318C104 327 142 338 184 338C294 338 347 275 347 187C347 112 305 39 221 39C160 39 119 71 97 89C88 97 80 96 71 90C59 80 50 67 49 57C48 45 52 36 66 23C80 9 123 -12 169 -12C221 -11 288 15 342 59C403 109 431 165 431 225C431 308 366 395 238 395C212 395 165 379 127 364L153 550Z" id="g113-54"></path><glyph.data ascent="3473" descent="-2876" horiz-adv-x="480" vert-adv-y="480"></glyph.data></g><g transform="matrix(.0135,0,0,-0.0135,107.18,0)"><path d="M901 255C861 290 790 361 716 442L694 427L796 280H69V230H796L694 83L716 68C790 149 861 220 901 255Z" id="g117-148"></path><glyph.data ascent="3473" descent="-2876" horiz-adv-x="954" vert-adv-y="954"></glyph.data></g><g transform="matrix(.0135,0,0,-0.0135,126.161,0)"><path d="M285 378C315 398 338 416 353 432C373 451 384 474 384 503C384 579 325 635 236 635H235C182 635 136 610 108 579L65 516L85 496C110 533 150 575 205 575C258 575 300 543 300 481C300 407 232 369 141 339L147 310C163 315 188 321 211 321C268 321 338 284 338 192C338 94 288 40 217 40C160 40 119 68 93 91C85 98 77 97 69 91C60 84 47 71 46 58C44 46 48 35 62 22C75 10 116 -12 162 -12C234 -12 424 62 424 224C424 297 373 359 285 376V378Z" id="g113-52"></path><glyph.data ascent="3473" descent="-2876" horiz-adv-x="480" vert-adv-y="480"></glyph.data></g></svg></span></td></tr><tr><td align="left">Sensitivity measure</td><td align="center"><span style="width: 133.623ptpx;"><svg height="8.91176pt" id="M82" style="vertical-align:-0.2130003pt" version="1.1" viewbox="-0.0498162 -8.69876 133.623 8.91176" width="133.623pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.0135,0,0,-0.0135,0,0)"><path d="M412 140C382 77 369 73 315 73H129L270 222C362 320 402 379 402 466C402 571 322 635 234 635C177 635 130 609 99 576L42 495L64 475C90 514 133 568 201 568C274 568 318 519 318 435C318 349 255 267 193 193C144 135 87 78 32 23V0H405C417 45 427 89 440 131L412 140Z" id="g113-51"></path><glyph.data ascent="3473" descent="-2876" horiz-adv-x="480" vert-adv-y="480"></glyph.data></g><g transform="matrix(.0135,0,0,-0.0135,12.559,0)"><path d="M901 255C861 290 790 361 716 442L694 427L796 280H69V230H796L694 83L716 68C790 149 861 220 901 255Z" id="g117-148"></path><glyph.data ascent="3473" descent="-2876" horiz-adv-x="954" vert-adv-y="954"></glyph.data></g><g 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427L796 280H69V230H796L694 83L716 68C790 149 861 220 901 255Z" id="g117-148"></path><glyph.data ascent="3473" descent="-2876" horiz-adv-x="954" vert-adv-y="954"></glyph.data></g><g transform="matrix(.0135,0,0,-0.0135,95.162,0)"><path d="M153 550H386L412 615L406 623H120L82 318C104 327 142 338 184 338C294 338 347 275 347 187C347 112 305 39 221 39C160 39 119 71 97 89C88 97 80 96 71 90C59 80 50 67 49 57C48 45 52 36 66 23C80 9 123 -12 169 -12C221 -11 288 15 342 59C403 109 431 165 431 225C431 308 366 395 238 395C212 395 165 379 127 364L153 550Z" id="g113-54"></path><glyph.data ascent="3473" descent="-2876" horiz-adv-x="480" vert-adv-y="480"></glyph.data></g><g transform="matrix(.0135,0,0,-0.0135,107.722,0)"><path d="M901 255C861 290 790 361 716 442L694 427L796 280H69V230H796L694 83L716 68C790 149 861 220 901 255Z" id="g117-148"></path><glyph.data ascent="3473" descent="-2876" horiz-adv-x="954" vert-adv-y="954"></glyph.data></g><g transform="matrix(.0135,0,0,-0.0135,126.703,0)"><path d="M285 378C315 398 338 416 353 432C373 451 384 474 384 503C384 579 325 635 236 635H235C182 635 136 610 108 579L65 516L85 496C110 533 150 575 205 575C258 575 300 543 300 481C300 407 232 369 141 339L147 310C163 315 188 321 211 321C268 321 338 284 338 192C338 94 288 40 217 40C160 40 119 68 93 91C85 98 77 97 69 91C60 84 47 71 46 58C44 46 48 35 62 22C75 10 116 -12 162 -12C234 -12 424 62 424 224C424 297 373 359 285 376V378Z" id="g113-52"></path><glyph.data ascent="3473" descent="-2876" horiz-adv-x="480" vert-adv-y="480"></glyph.data></g></svg></span></td></tr><tr><td align="left">Confidence level</td><td align="center"><span style="width: 134.167ptpx;"><svg height="8.93895pt" id="M83" style="vertical-align:-0.2401896pt" version="1.1" viewbox="-0.0498162 -8.69876 134.167 8.93895" width="134.167pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.0135,0,0,-0.0135,0,0)"><path d="M412 140C382 77 369 73 315 73H129L270 222C362 320 402 379 402 466C402 571 322 635 234 635C177 635 130 609 99 576L42 495L64 475C90 514 133 568 201 568C274 568 318 519 318 435C318 349 255 267 193 193C144 135 87 78 32 23V0H405C417 45 427 89 440 131L412 140Z" id="g113-51"></path><glyph.data ascent="3473" descent="-2876" horiz-adv-x="480" vert-adv-y="480"></glyph.data></g><g transform="matrix(.0135,0,0,-0.0135,12.559,0)"><path d="M901 255C861 290 790 361 716 442L694 427L796 280H69V230H796L694 83L716 68C790 149 861 220 901 255Z" id="g117-148"></path><glyph.data ascent="3473" descent="-2876" horiz-adv-x="954" vert-adv-y="954"></glyph.data></g><g transform="matrix(.0135,0,0,-0.0135,31.54,0)"><path d="M306 382C339 403 362 417 379 433C398 450 411 473 411 500C411 578 352 635 248 635H247C181 635 134 604 106 573L56 506L82 482C117 529 151 557 201 557C246 557 287 531 287 466C287 404 228 364 143 336L150 302C165 306 186 309 204 309C258 309 324 275 324 179C324 85 285 44 235 44C175 44 128 88 106 108C92 118 80 116 69 106C56 97 39 79 39 61C39 47 46 34 63 21C83 5 123 -12 174 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horiz-adv-x="954" vert-adv-y="954"></glyph.data></g><g transform="matrix(.0135,0,0,-0.0135,95.162,0)"><path d="M409 0V34C329 39 322 56 322 125V635C234 611 160 593 94 583V554L145 551C186 547 190 541 190 488V125C190 54 181 39 102 34V0H409Z" id="g13-47"></path><glyph.data ascent="1024" descent="-360" horiz-adv-x="500" vert-adv-y="500"></glyph.data></g><g transform="matrix(.0135,0,0,-0.0135,107.993,0)"><path d="M901 255C861 290 790 361 716 442L694 427L796 280H69V230H796L694 83L716 68C790 149 861 220 901 255Z" id="g117-148"></path><glyph.data ascent="3473" descent="-2876" horiz-adv-x="954" vert-adv-y="954"></glyph.data></g><g transform="matrix(.0135,0,0,-0.0135,126.974,0)"><path d="M152 515H407L439 613L433 623H115L70 303C91 310 134 322 179 322C270 322 327 264 327 174C327 100 297 45 235 45C178 45 130 84 106 106C93 117 82 120 70 112C53 99 38 76 38 61S43 36 63 20C84 2 126 -12 166 -12C226 -11 297 15 354 56C424 105 455 164 455 226C455 312 382 394 254 394C228 394 175 380 125 362L152 515Z" id="g13-51"></path><glyph.data ascent="1024" descent="-360" horiz-adv-x="500" vert-adv-y="500"></glyph.data></g></svg></span></td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Hidden-layer Adaline sequence ordered by the actual variation and the two measures.

Mathematical Problems in Engineering

A Sensitivity-Based Improving Learning Algorithm for Madaline Rule II

Table 2