Analysis and Design of Associative Memories for Memristive Neural Networks with Deviating Argument

<div>Typical evolutions of pattern “<svg height="8.97279pt" id="M571" style="vertical-align:-0.2324896pt" version="1.1" viewbox="-0.0498162 -8.7403 9.61218 8.97279" width="9.61218pt" 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="M723 650H473V615C541 611 564 591 570 556C575 526 580 488 580 417V310C580 143 528 53 409 53C301 53 247 140 247 290V508C247 602 257 608 330 615V650H29V615C103 608 113 602 113 508V272C113 155 140 81 196 36C244 -1 307 -15 373 -15C444 -15 512 10 558 58C614 118 630 202 630 308V417C630 488 634 525 639 556C644 591 669 612 723 615V650Z" id="g13-83"></path><glyph.data ascent="1024" descent="-360" horiz-adv-x="729" vert-adv-y="729" xpluscharwidth="9.477"></glyph.data></g></svg>” with input pattern “<svg height="8.97279pt" id="M572" style="vertical-align:-0.2324896pt" version="1.1" viewbox="-0.0498162 -8.7403 8.92059 8.97279" width="8.92059pt" 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="M625 186C574 85 512 32 429 32C293 32 194 153 194 337C194 485 274 621 419 621C496 621 573 586 606 468L643 475C636 537 629 583 620 638C593 644 519 665 438 665C199 665 42 523 42 317C42 158 152 -15 418 -15C486 -15 578 5 604 11C621 46 647 122 660 171L625 186Z" id="g13-65"></path><glyph.data ascent="1024" descent="-360" horiz-adv-x="676" vert-adv-y="676" xpluscharwidth="8.788"></glyph.data></g></svg>” under three random initial values.</div>

Mathematical Problems in Engineering

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Figure 5

Figure 5: Analysis and Design of Associative Memories for Memristive Neural Networks with Deviating Argument 