Optimising Deep Belief Networks by hyper-heuristic approach.

Nasser R. Sabar Ayad Turky Andy Song Abdul Sattar

Published in: CEC (2017)

Keyphrases

hyper heuristics
deep belief networks
genetic programming
unsupervised learning
deep learning
evolutionary algorithm
examination timetabling
timetabling problem

difficult problems
hierarchical models
restricted boltzmann machine
constraint satisfaction problems
probabilistic model
metaheuristic
generative model
heuristic search

machine learning
sparse coding
search procedure
approximate inference
heuristic methods
evolutionary computation
fitness function
hierarchical model

supervised learning
semi supervised
hierarchical structures
multi objective
computational complexity
optimal solution
feature selection