On the performance of deep learning for numerical optimization: an application to protein structure prediction.
Hojjat RakhshaniLhassane IdoumgharSoheila GhambariJulien LepagnotMathieu BrévilliersPublished in: CoRR (2020)
Keyphrases
- numerical optimization
- protein structure prediction
- deep learning
- artificial immune system
- protein sequences
- graph theory
- unsupervised learning
- computational biology
- protein structure
- coarse grained
- machine learning
- test functions
- amino acids
- evolution strategy
- mental models
- artificial bee colony
- protein folding
- fine grained
- secondary structure
- knowledge discovery
- differential evolution
- weakly supervised
- multi class
- evolutionary algorithm
- social network analysis
- expectation maximization
- computational intelligence
- natural language processing