Results for Chaos Synchronization with New Multi-Fractional Order of Neural Networks by Multi-Time Delay

<div>Experiment A: phase portrait of the <i>X</i> and <i>Y</i> of MFNNMD systems (<a href="https://static.hindawi.com/articles/complexity/volume-2021/9398333/figures/#EEq21">21</a>) and (<a href="https://static.hindawi.com/articles/complexity/volume-2021/9398333/figures/#EEq22">22</a>), when <svg height="8.55521pt" id="M123" style="vertical-align:-0.2063904pt" version="1.1" viewbox="-0.0498162 -8.34882 43.0908 8.55521" width="43.0908pt" 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="M471 456L444 459C426 433 414 430 388 430C324 430 270 434 216 434C103 434 51 374 23 338L43 317C96 366 146 380 221 375L154 109C149 86 147 68 147 52C147 4 168 -12 197 -12C240 -12 291 25 334 71L320 96C295 75 268 58 252 58C238 58 227 79 238 138C251 211 272 296 292 372C310 372 332 368 350 368C391 368 421 369 434 371C444 388 455 413 471 456Z"></path></g><g transform="matrix(.013,0,0,-0.013,9.914,0)"><path d="M535 323V373H52V323H535ZM535 138V188H52V138H535Z"></path></g><g transform="matrix(.013,0,0,-0.013,21.177,0)"><path d="M241 635C89 635 35 457 35 312C35 153 89 -12 240 -12C390 -12 443 166 443 312C443 466 390 635 241 635ZM238 602C329 602 354 454 354 312C354 172 330 22 240 22C152 22 124 173 124 313S148 602 238 602Z"></path></g><g transform="matrix(.013,0,0,-0.013,27.417,0)"><path d="M113 -12C146 -12 170 11 170 46C170 78 146 103 114 103S58 78 58 46C58 11 82 -12 113 -12Z"></path></g><g transform="matrix(.013,0,0,-0.013,30.381,0)"><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"></path></g><g transform="matrix(.013,0,0,-0.013,36.621,0)"><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"></path></g></svg> and alpha = [0.995, 0.990, 0.985, 0.980, 0.975, 0.970, 0.965, 0.960].</div>

Complexity

fig2

Figure 2

Figure 2: Results for Chaos Synchronization with New Multi-Fractional Order of Neural Networks by Multi-Time Delay 