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A varying-gain recurrent neural-network with super exponential convergence rate for solving nonlinear time-varying systems.
Zhijun Zhang
Xiaolu Yang
Xianzhi Deng
Lingao Li
Published in:
Neurocomputing (2019)
Keyphrases
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convergence rate
recurrent neural networks
solving nonlinear
learning rate
convergence speed
neural network
step size
complex valued
image processing
hidden layer
global convergence
genetic algorithm
artificial neural networks
simplex method
nonlinear equations