Abstract:
The two neuron CNN system with piecewise linear activation function and time dependent external inputs is analyzed and the parametric solutions for the trajectories are g...Show MoreMetadata
Abstract:
The two neuron CNN system with piecewise linear activation function and time dependent external inputs is analyzed and the parametric solutions for the trajectories are given. We look then at the particular case in which the CNN has an antisymmetric template and sine external input. For particular parameter values, this example has been found in the literature to have chaotic behavior. We use the trajectories solution to study the sensitivity of the system to initial conditions and the possibility of self-intersecting trajectories. Both results characterize a chance for a chaotic behavior.
Date of Conference: 29-31 August 2011
Date Added to IEEE Xplore: 13 October 2011
ISBN Information:
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Cellular Neural Networks ,
- Time-dependent Input ,
- External Input ,
- Chaotic System ,
- Piecewise Linear Function ,
- Central Region ,
- Linear Equation ,
- Autonomic System ,
- Fixed Point ,
- Linear System ,
- Matrix Form ,
- General Solution ,
- Middle Region ,
- Equilibrium Point ,
- Local Solution ,
- Saddle Point ,
- Outer Region ,
- Limit Cycle ,
- Chaotic Attractor ,
- Matrix Exponential
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Cellular Neural Networks ,
- Time-dependent Input ,
- External Input ,
- Chaotic System ,
- Piecewise Linear Function ,
- Central Region ,
- Linear Equation ,
- Autonomic System ,
- Fixed Point ,
- Linear System ,
- Matrix Form ,
- General Solution ,
- Middle Region ,
- Equilibrium Point ,
- Local Solution ,
- Saddle Point ,
- Outer Region ,
- Limit Cycle ,
- Chaotic Attractor ,
- Matrix Exponential