Backpropagation through time for a general class of recurrent network

Proceedings of the International Joint Conference on Neural Networks

Volumn 4, Issue , 2001, Pages 2638-2643

  De Jesus O ^a   Hagan, M T ^a  

^a Oklahoma State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; CALCULATIONS; COMPUTATIONAL METHODS; ERROR ANALYSIS; GRADIENT METHODS; LEARNING ALGORITHMS; PERTURBATION TECHNIQUES; VECTORS;

BACKPROPAGATION-THROUGH-TIME ALGORITHM; FORWARD PERTURBATION; LAYERED DIGITAL DYNAMIC NETWORK; NETWORK WEIGHTS; TRAINING ALGORITHM;

RECURRENT NEURAL NETWORKS;

EID: 0034865599     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. Forward perturbation for a general class of dynamic network
2. Identification and control for dynamic systems using neural networks
3. Backpropagation through time: What it is and how to do it
4. Neurocontrol using dynamic learning
5. Training recurrent networks