Theory and Modern Applications
From: On extended dissipativity analysis for neural networks with time-varying delay and general activation functions
μ
μ  = 0.8
μ  = 0.9
[9]
2.8854
1.9631
[10]
3.0604
1.9956
[11]
3.0640
2.0797
[12]
7.5173
5.3993
[41]
7.9008
5.6440
Theorem 3.1
8.2046
5.8347