Machine learning and multi-agent systems in oil and gas industry applications: A survey.
Khadijah M. HangaYevgeniya KovalchukPublished in: Comput. Sci. Rev. (2019)
Keyphrases
- machine learning
- multi agent systems
- oil and gas industry
- pattern recognition
- machine learning algorithms
- knowledge acquisition
- machine learning methods
- learning problems
- computer vision
- feature selection
- decision trees
- information extraction
- cooperative
- intelligent agents
- natural language processing
- inductive learning
- data analysis
- agent architecture
- coalition formation
- computational logic
- statistical methods
- machine learning approaches
- game theory
- machine learning and data mining
- autonomous agents
- agent systems
- complex systems
- computational intelligence
- text classification
- semi supervised learning
- artificial intelligence
- computer science
- multi agent
- real time
- data mining
- multi agent reinforcement learning
- distributed problem solving
- knowledge base
- reinforcement learning
- agent technology
- expert systems
- active learning
- support vector machine
- text mining
- database