Se-ResNet+SVM Model: An Effective Method of Searching for Hot Subdwarfs from LAMOST

This paper presents a robust neural network approach for identifying hot subdwarfs. Our method leveraged the Squeeze-and-Excitation Residual Network to extract abstract features, which were combined with experience features to create hybrid features. These hybrid features were then classified using...

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التفاصيل البيبلوغرافية

المؤلفون الرئيسيون:	Zhongding Cheng, Xiaoming Kong, Tianmin Wu, Aina Zhang, Bowen Liu, Yude Bu, Zhenxin Lei, Yatao Zhang, Zhenping Yi, Meng Liu
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	IOP Publishing 2024-01-01
سلاسل:	The Astrophysical Journal Supplement Series
الموضوعات:	Stellar classification A subdwarf stars Convolutional neural networks Stellar types
الوصول للمادة أونلاين:	https://doi.org/10.3847/1538-4365/ad5b61
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!