Development of a sensitivity analysis framework for aquatic biogeochemical models using machine learning.
Haibin CaiYuko ShimodaJingqiao MaoGeorge B. ArhonditsisPublished in: Ecol. Informatics (2023)
Keyphrases
- sensitivity analysis
- machine learning
- probabilistic model
- influence diagrams
- modeling framework
- model selection
- case study
- machine learning approaches
- machine learning algorithms
- machine learning methods
- learning tasks
- statistical models
- complex systems
- bayesian framework
- artificial intelligence
- development process
- design principles
- variational inequalities
- process model
- optimization problems
- text mining
- natural language processing
- software engineering
- dynamic programming
- learning algorithm