Login / Signup
Acceleration of learning in feedforward networks using dynamical systems analysis and matrix perturbation theory.
Nikolaos Ampazis
Stavros J. Perantonis
John G. Taylor
Published in:
IJCNN (1999)
Keyphrases
</>
dynamical systems
feed forward
connectionist networks
perturbation theory
neural nets
machine learning
learning algorithm
predictive state representations
reinforcement learning
biologically plausible
recurrent networks
learning tasks
neural network
social networks
latent variable models