On the performance of deep learning for numerical optimization: An application to protein structure prediction.
Hojjat RakhshaniLhassane IdoumgharSoheila GhambariJulien LepagnotMathieu BrévilliersPublished in: Appl. Soft Comput. (2021)
Keyphrases
- deep learning
- numerical optimization
- protein structure prediction
- artificial immune system
- unsupervised learning
- graph theory
- protein sequences
- protein structure
- machine learning
- test functions
- coarse grained
- computational biology
- evolution strategy
- amino acids
- artificial bee colony
- secondary structure
- weakly supervised
- protein folding
- dynamic programming
- mental models
- information extraction
- fine grained
- pattern recognition
- evolutionary algorithm
- computational intelligence
- training data
- markov random field
- model selection
- data mining
- training examples