首页|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)
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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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.
DhahranSaudi ArabiaAsiaConvolutional NetworkCyborgsEmerging TechnologiesMachine LearningNetworksNeural NetworksKing Fahd University of Petroleum and Minerals
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