Texas A&M University researchers have designed a reinforcement-based algorithm that automates the process of predicting the properties of the underground environment, facilitating the accurate forecasting of oil and gas reserves.
from News on Artificial Intelligence and Machine Learning https://ift.tt/3uq5He6
Home
machine-learning-ai-news
News on Artificial Intelligence and Machine Learning
Positive reinforcements help algorithm forecast underground natural reserves
- Blogger Comment
- Facebook Comment
Subscribe to:
Post Comments
(
Atom
)
0 comments:
Post a Comment