Solar flare prediction is an important subject in the field of space weather.Deep learning technology has greatly promoted the development of this subject.In this study,we propose a novel solar flare forecasting model...Solar flare prediction is an important subject in the field of space weather.Deep learning technology has greatly promoted the development of this subject.In this study,we propose a novel solar flare forecasting model integrating Deep Residual Network(ResNet)and Support Vector Machine(SVM)for both≥C-class(C,M,and X classes)and≥M-class(M and X classes)flares.We collected samples of magnetograms from May 1,2010 to September 13,2018 from Space-weather Helioseismic and Magnetic Imager(HMI)Active Region Patches and then used a cross-validation method to obtain seven independent data sets.We then utilized five metrics to evaluate our fusion model,based on intermediate-output extracted by ResNet and SVM using the Gaussian kernel function.Our results show that the primary metric true skill statistics(TSS)achieves a value of 0.708±0.027 for≥C-class prediction,and of 0.758±0.042 for≥M-class prediction;these values indicate that our approach performs significantly better than those of previous studies.The metrics of our fusion model’s performance on the seven datasets indicate that the model is quite stable and robust,suggesting that fusion models that integrate an excellent baseline network with SVM can achieve improved performance in solar flare prediction.Besides,we also discuss the performance impact of architectural innovation in our fusion model.展开更多
人的直接语言功能涵盖听、说、读、写等多个方面,语言的作用是实现信息的传递和交流。脑卒中后约有30%的患者会发生失语症,失语症病人的语言功能损伤程度各异且特点多种多样。在脑卒中后遗症期,循证合理的综合语言康复训练能对患者的直...人的直接语言功能涵盖听、说、读、写等多个方面,语言的作用是实现信息的传递和交流。脑卒中后约有30%的患者会发生失语症,失语症病人的语言功能损伤程度各异且特点多种多样。在脑卒中后遗症期,循证合理的综合语言康复训练能对患者的直接语言功能恢复有良好的促进作用,前期大量临床研究均支持头电针、PACE疗法等在语言康复训练中的正性促进作用。本报告案例在头电针刺激的同时运用交流效果促进法(Promoting Aphasic’s Communication Effectiveness,PACE),显示患者不仅直接语言功能中的听理解能力和词语提取量有明显改善,且当其进行语言信息传递时,实用交流技巧也有显著的提升,从而改善患者的整体语言交流效果。展开更多
基金supported by the National Key R&D Program of China (Grant No.2022YFF0503700)the National Natural Science Foundation of China (42074196, 41925018)
文摘Solar flare prediction is an important subject in the field of space weather.Deep learning technology has greatly promoted the development of this subject.In this study,we propose a novel solar flare forecasting model integrating Deep Residual Network(ResNet)and Support Vector Machine(SVM)for both≥C-class(C,M,and X classes)and≥M-class(M and X classes)flares.We collected samples of magnetograms from May 1,2010 to September 13,2018 from Space-weather Helioseismic and Magnetic Imager(HMI)Active Region Patches and then used a cross-validation method to obtain seven independent data sets.We then utilized five metrics to evaluate our fusion model,based on intermediate-output extracted by ResNet and SVM using the Gaussian kernel function.Our results show that the primary metric true skill statistics(TSS)achieves a value of 0.708±0.027 for≥C-class prediction,and of 0.758±0.042 for≥M-class prediction;these values indicate that our approach performs significantly better than those of previous studies.The metrics of our fusion model’s performance on the seven datasets indicate that the model is quite stable and robust,suggesting that fusion models that integrate an excellent baseline network with SVM can achieve improved performance in solar flare prediction.Besides,we also discuss the performance impact of architectural innovation in our fusion model.
文摘人的直接语言功能涵盖听、说、读、写等多个方面,语言的作用是实现信息的传递和交流。脑卒中后约有30%的患者会发生失语症,失语症病人的语言功能损伤程度各异且特点多种多样。在脑卒中后遗症期,循证合理的综合语言康复训练能对患者的直接语言功能恢复有良好的促进作用,前期大量临床研究均支持头电针、PACE疗法等在语言康复训练中的正性促进作用。本报告案例在头电针刺激的同时运用交流效果促进法(Promoting Aphasic’s Communication Effectiveness,PACE),显示患者不仅直接语言功能中的听理解能力和词语提取量有明显改善,且当其进行语言信息传递时,实用交流技巧也有显著的提升,从而改善患者的整体语言交流效果。
