首页|National Astronomical Observatories Researchers Provide New Insights into Machine Learning (TLW: A Real-Time Light Curve Classification Algorithm for Transients Based on Machine Learning)
National Astronomical Observatories Researchers Provide New Insights into Machine Learning (TLW: A Real-Time Light Curve Classification Algorithm for Transients Based on Machine Learning)
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Investigators publish new report on artificial intelligence. According to news reporting originating from Changchun, People's Republic of China, by NewsRx correspondents, research stated, "The real-time light curve classification of transients is helpful in searching for rare transients." Financial supporters for this research include National Natural Science Foundation of China; Chinese Academy of Sciences And Local Government Cooperation Project; Strategic Priority Research Program of The Chinese Academy of Sciences; Satural Science Foundation of Jilin Province; Svom Project. The news editors obtained a quote from the research from National Astronomical Observatories: "We propose a new algorithm based on machine learning, namely the Temporary Convective Network and Light Gradient Boosting Machine Combined with Weight Module Algorithm (TLW). The TLW algorithm can classify the photometric simulation transients data in g, r, i bands provided via PLAsTiCC, typing Tidal Disruption Event (TDE), Kilonova (KN), Type Ia supernova (SNIa), and Type I Super-luminous supernova (SLSN-I). When comparing the real-time classification results of the TLW algorithm and six other algorithms, such as Rapid, we found that the TLW algorithm has the best comprehensive performance indexes and has the advantages of high precision and high efficiency. The average accuracy of TLW is 84.54%. The average implementation timings of the TLW algorithm for classifying four types of transients is 123.09 s, which is based on TensorFlow's architecture in windows and python. We use three indicators to prove that the TLW algorithm is superior to the classical Rapid algorithm, including Confusion Matrix, PR curve, and ROC curve."
National Astronomical ObservatoriesChangchunPeople's Republic of ChinaAsiaAlgorithmsCyborgsEmerging TechnologiesMachine LearningPhysicsSupernovas
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