Research Article

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

Table 2

Dynamic errors for various values of alpha () and τ = [0.10, 0.11, 0.12, 0.13, 0.14, 0.15, 0.16, 0.17].

Value of alpha

0.2−2.022495−0.0656862.8530491.205545
0.4−4.080703−2.2932182.6875970.311466
0.6−1.320927−1.122006−5.013653−5.232768
0.8−0.2143951.0824451.6866270.853142
1.0−2.728065−1.6137152.4296910.460877
1.2−2.354545−1.618750−1.338532−2.756335
1.4−0.4100800.051628−1.815041−1.838976
1.6−0.1348540.233707−1.195806−1.213489
1.80.0025740.298025−0.846826−0.835130
2.00.0518010.297613−0.650303−0.630223

0.20.9403632.652079−0.323689−0.373100
0.41.0327232.446092−0.593181−0.486812
0.61.5165372.179133−2.695674−2.141750
0.8−1.193599−0.160199−1.124218−1.989497
1.0−0.0950080.720590−0.875975−1.115168
1.2−0.1875240.466583−1.086851−1.240937
1.4−0.1507880.407471−0.926858−1.065040
1.6−0.1025130.370933−0.828564−0.929539
1.8−0.0671050.336450−0.742594−0.814420
2.0−0.0408250.304890−0.665046−0.714429

0.2−0.6284860.752827−1.065626−1.705763
0.4−0.6166810.508169−1.175186−1.674920
0.6−0.5014800.455924−1.084421−1.493109
0.8−0.4131070.413356−0.992929−1.334976
1.0−0.3419050.377650−0.910913−1.198937
1.2−0.2839420.346661−0.836579−1.080232
1.4−0.2364180.319153−0.768815−0.975700
1.6−0.1972440.294346−0.706797−0.883013
1.8−0.1648140.271723−0.649864−0.800362
2.0−0.1378680.250926−0.597470−0.726300

0.2−0.7264360.450155−0.988908−1.560065
0.4−0.6077640.387185−0.887064−1.357983
0.6−0.5207290.344249−0.808443−1.210932
0.8−0.4517190.310852−0.741817−1.091060
1.0−0.3950140.283278−0.683254−0.988966
1.2−0.3474100.259682−0.630746−0.899911
1.4−0.3068540.238995−0.583070−0.821019
1.6−0.2719200.220533−0.539396−0.750353
1.8−0.2415670.203835−0.499119−0.686514
2.0−0.2150070.188574−0.461779−0.628448