Robotics & Machine Learning Daily News2024,Issue(Oct.30) :90-91.

Findings on Boltzmann Machines Detailed by Investigators at Ministry of Natural Resources (Lithofacies Prediction Driven By Logging-based Bayesian-optimized Ens emble Learning: a Case Study of Lacustrine Carbonate Reservoirs)

Robotics & Machine Learning Daily News2024,Issue(Oct.30) :90-91.

Findings on Boltzmann Machines Detailed by Investigators at Ministry of Natural Resources (Lithofacies Prediction Driven By Logging-based Bayesian-optimized Ens emble Learning: a Case Study of Lacustrine Carbonate Reservoirs)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Boltzmann Mac hines have been published. According to news reporting from Beijing, People's Re public of China, by NewsRx journalists, research stated, "Although lithofacies r outinely is featured by distinct logging responses from each other, many types o f lithofacies in practical cases show similar measuring characteristics on logs, and then to achieve a desirable solution from logging-based lithofacies predict ion actually is challengeable. Since the mathematical essence of lithofacies pre diction can be explained as an issue of pattern recognition, a light gradient bo osting machine, a stateof- the-art ensemble learning, specifically developed to address supervised classification, could be a potential solver."

Key words

Beijing/People's Republic of China/Asia/Boltzmann Machines/Alkalies/Anions/Boltzmann Machine/Carbonates/Carbonic Acid/Emerging Technologies/Machine Learning/Ministry of Natural Resources

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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