Texas A&M University: Positive Reinforcements Help Algorithm Correctly Forecast Underground Natural Reserves
March 11, 2021
March 11, 2021
COLLEGE STATION, Texas, March 11 (TNSJou) -- The Texas A&M University's Engineering Experiment Station issued the following news:
Using machine learning, researchers at Texas A&M University have developed an algorithm that automates the process of determining key features of Earth's subterranean environment, including bountiful reservoirs of groundwater, oil and natural gas.
Specifically, the researchers' algorithm is designed on the principle of reinforcement o . . .
Using machine learning, researchers at Texas A&M University have developed an algorithm that automates the process of determining key features of Earth's subterranean environment, including bountiful reservoirs of groundwater, oil and natural gas.
Specifically, the researchers' algorithm is designed on the principle of reinforcement o . . .