Machine-learning techniques for the optimal design of acoustic metamaterials.
Andrea BacigalupoGiorgio GneccoMarco LepidiLuigi GambarottaPublished in: CoRR (2019)
Keyphrases
- optimal design
- machine learning
- water supply
- machine learning algorithms
- structural design
- machine learning approaches
- machine learning methods
- underwater acoustic
- source localization
- acoustic signal
- data structure
- learning algorithm
- visual features
- multi agent
- search engine
- genetic algorithm
- data mining
- neural network
- databases
- underwater vehicles
- bird species
- database