A genetic programming approach to designing convolutional neural network architectures.
Masanori SuganumaShinichi ShirakawaTomoharu NagaoPublished in: GECCO (2017)
Keyphrases
- genetic programming
- fitness function
- evolutionary computation
- genetic algorithm
- grammar guided genetic programming
- symbolic regression
- classification rules
- neural network
- evolutionary algorithm
- gene expression programming
- financial forecasting
- regression problems
- deep learning
- user interface
- hyper heuristics
- real world
- data sets
- sparse coding
- evolutionary approaches