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