Adaptive behavior with fixed weights in RNN: An overview

Proceedings of the International Joint Conference on Neural Networks

Volumn 3, Issue , 2002, Pages 2018-2022

  Prokhorov, Danil V ^a   Feldkamp, Lee A ^a   Tyukin, Ivan Yu ^a  

^a FORD RESEARCH LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE SYSTEMS; ALGORITHMS; BACKPROPAGATION; BOOLEAN FUNCTIONS; KALMAN FILTERING; MULTILAYER NEURAL NETWORKS;

BACKPROPAGATION THROUGH TIME; EXTENDED KALMAN FILTERING; META-LEARNING; RECURRENT MULTILAYER PERCEPTRONS;

RECURRENT NEURAL NETWORKS;

EID: 0036083081     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. Adaptation from fixed weight dynamic networks
2. Fixed-weight controller for multiple systems
3. Fixed-weight on-line learning
4. Adaptive vs. accommodative neural networks for adaptive system identification
5. Meta-learning with backpropagation
6. Learning to learn using gradient descent
7. Conditioned adaptive behavior from a fixed neural network
8. Dynamical neural networks for control
9. A signal processing framework based on dynamic neural networks with application to problems in adaptation, filtering, and classification
10. Approximation of hybrid systems by neural networks