RNN-AFOX: adaptive FOX-inspired-based technique for automated tuning of recurrent neural network hyper-parameters.

Hosam Alrahhal Razan Jamous

Published in: Artif. Intell. Rev. (2023)

Keyphrases

recurrent neural networks
hyperparameters
model selection
feed forward
bayesian inference
neural network
cross validation
closed form
support vector

recurrent networks
long short term memory
gaussian process
complex valued
random sampling
artificial neural networks
bayesian framework
reservoir computing

neural model
parameter settings
prior information
echo state networks
hidden layer
em algorithm
noise level
sample size

maximum likelihood
gaussian processes
incremental learning
conjugate priors
image processing
prior knowledge
back propagation
parameter space