Reports from King Fahd University of Petroleum and Minerals Advance Knowledge in Machine Learning (Enhanced First-break Picking Using Hybrid Convolutional Neural Network and Recurrent Neural Networks)

Robotics & Machine Learning Daily News2024，Issue(Jan.25) ：21-22.

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Reports from King Fahd University of Petroleum and Minerals Advance Knowledge in Machine Learning (Enhanced First-break Picking Using Hybrid Convolutional Neural Network and Recurrent Neural Networks)

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Abstract

By a News Reporter-Staff News Editor at Network Daily News - Fresh dataon Machine Learning are presented in a new report. According to news reporting originating in Dhahran,Saudi Arabia, by NewsRx journalists, research stated, “First-break (FB) picking plays an important rolein many applications of seismic study. Different machine-learning-based methods have been proposed tosolve FB picking problem.”Financial support for this research came from College of Petroleum Engineering and Geosciences StartupGrant.

Key words

Dhahran/Saudi Arabia/Asia/Convolutional Network/Cyborgs/Emerging Technologies/Machine Learning/Networks/Neural Networks/King Fahd University of Petroleum and Minerals

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出版年

2024

Robotics & Machine Learning Daily News

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