A family of varying-parameter finite-time zeroing neural networks for solving time-varying Sylvester equation and its application.
Dimitrios GerontitisRatikanta BeheraPanagiotis TzekisPredrag S. StanimirovicPublished in: J. Comput. Appl. Math. (2022)
Keyphrases
- neural network
- nonlinear equations
- global exponential stability
- algebraic equations
- pattern recognition
- artificial neural networks
- special case
- genetic algorithm
- data sets
- image processing
- machine learning
- recurrent neural networks
- multilayer perceptron
- neural network model
- feed forward
- parameter space
- neural nets
- multi layer
- training process
- numerical methods
- solving problems
- combinatorial optimization
- mathematical model
- hamilton jacobi
- expert systems