Research Article

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

Table 1

Dynamic errors for various values of alpha () and .

Value of alpha

0.20.1246582.168321−2.763986−3.362894
0.4−2.401059−1.517229−3.991367−4.667138
0.6−4.364460−2.5578561.480212−1.060209
0.8−3.045370−1.1418782.9168640.961262
1.0−0.8892771.0387212.0092670.697992
1.22.8487534.206538−2.248520−1.196980
1.4−0.405743−0.055542−5.719650−5.521897
1.6−5.144471−3.832519−0.562004−3.244713
1.8−3.941395−2.2449552.7784120.520882
2.0−2.816576−1.1767823.2467071.502449

0.20.1210471.547881−3.908083−3.985490
0.4−3.456733−1.6627450.398536−1.882546
0.6−0.8669101.0643611.021344−0.378369
0.81.6289602.425840−4.054332−3.501186
1.0−3.634861−2.180439−0.506693−2.636411
1.2−1.890809−0.2274391.540518−0.197372
1.41.4143752.816090−1.083584−0.738211
1.6−1.924365−1.241058−3.434225−4.093808
1.8−2.284485−0.8426591.033461−0.840626
2.0−0.1940501.2228200.563513−0.229726

0.2−2.602491−0.940676−1.924003−3.521095
0.40.2094121.830452−1.281248−1.679577
0.6−1.4367650.027426−1.132682−2.296571
0.80.0587711.260416−1.964939−2.089092
1.0−0.8820700.379702−1.004009−1.839316
1.2−0.3489530.717825−1.659654−1.952206
1.4−0.5233440.531580−1.125355−1.656581
1.6−0.3552090.581332−1.355911−1.682493
1.8−0.3794220.508523−1.144286−1.526037
2.0−0.2921120.519874−1.172738−1.468346

0.2−0.8368290.855342−1.077397−2.142311
0.4−0.7606790.667618−1.321963−2.095273
0.6−0.6768700.599926−1.329555−1.973587
0.8−0.5980960.566648−1.282252−1.845552
1.0−0.5360080.536812−1.225057−1.731554
1.2−0.4847280.508685−1.171231−1.632134
1.4−0.4397690.483483−1.121826−1.543438
1.6−0.3996540.460903−1.075778−1.462798
1.8−0.3637130.440376−1.032476−1.388736
2.0−0.3314080.421524−0.991581−1.320280