Adaptive control of dynamic nonlinear systems using Sigmoid Diagonal Recurrent Neural Network

The goal of this paper is to introduce a new neural network architecture called Sigmoid Diagonal Recurrent Neural Network (SDRNN) to be used in the adaptive control of nonlinear dynamical systems. This is done by adding a sigmoid weight victor in the hidden layer neurons to adapt of the shape of the...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Aboueldahab, T, Fakhreldin, M
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Adaptation model adaptive control Backpropagation Computational modeling dynamic back propagation dynamic nonlinear systems Radio access networks Sigmoid Diagonal Recurrent Neural Networks
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