首页|Researchers from Al-Farabi Kazakh National University Publish Research in Machine Learning (Classification of Gravitational Waves from Black Hole-Neutron Star Mergers with Machine Learning)
Researchers from Al-Farabi Kazakh National University Publish Research in Machine Learning (Classification of Gravitational Waves from Black Hole-Neutron Star Mergers with Machine Learning)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on artificial intelligence have been published. According to news originating from Al-Farabi Kazakh Nationa l University by NewsRx editors, the research stated, “This study developed a mac hine learning-based methodology to classify gravitational wave (GW) signals from black holeneutron star (BH-NS) mergers by combining convolutional neural networ k (CNN) with conditional information for feature extraction.”
Al-Farabi Kazakh National UniversityCyborgsEmerging TechnologiesGravitational WavesMachine LearningPhysics
NETL
NSTL
