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Convergence of neutral type SICNNs involving proportional delays and D operators
2018
In the present study, by employing differential inequality theory, some novel assertions are gained to validate the global exponential convergence on neutral type shunting inhibitory cellular neural networks involving proportional delays and D operators. Moreover, numerical simulations are provided to support the effectiveness of the analytical results.
Keywords:
- Mathematical analysis
- Mathematical optimization
- Ordinary differential equation
- Functional analysis
- Operator (computer programming)
- Inequality
- Mathematics
- Shunting
- Partial differential equation
- Cellular neural network
- Exponential function
- exponential convergence
- differential inequalities
- shunting inhibitory cellular neural networks
- Convergence (routing)
- Correction
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