Identification of nonlinear dynamical systems using recurrent neural networks

Keyphrases

• Recurrent Neural Network 100%
• Nonlinear Dynamical Systems 100%
• Learning Algorithm 66%
• Extended Kalman Filtering 66%
• Real-time Recurrent Learning 66%
• Memory Neural Network 66%
• Computational Modeling 33%
• Trainable 33%
• Relative Effectiveness 33%
• Feedforward Network 33%
• Learning Procedure 33%
• Computational Requirements 33%
• Dynamical Systems 33%
• System Identification 33%
• Internal Storage 33%
• Mean Square Error 33%
• Neural Network Topology 33%
• Computational Complexity 33%
• Backpropagation through Time 33%
• Temporal Elements 33%
• Recurrent Network 33%
• Computationally Intensive 33%
• Modeling Accuracy 33%

Computer Science

• Dynamical System 100%
• Recurrent Neural Network 100%
• Learning Algorithm 75%
• Neural Network 50%
• Computational Modeling 25%
• Feedforward Network 25%
• Network Topology 25%
• System Identification 25%
• Backpropagation 25%
• Nonlinear Model 25%
• Internal Memory 25%
• Relative Effectiveness 25%
• Computational Complexity 25%
• Recurrent Network 25%

Chemical Engineering

• Recurrent Neural Network 100%
• Nonlinear Dynamical Systems 100%
• Neural Network 66%
• Backpropagation 33%