Prediction of Aerosol Particle Size Distribution Based on Neural Network
المؤلفون المشاركون
Gong, Xin
Zhao, Hu
Ren, Yali
Mao, Jiandong
Rao, Zhimin
Zhang, Yi
Zhou, Chunyan
Wang, Qiang
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-06-06
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
Aerosol plays a very important role in affecting the earth-atmosphere radiation budget, and particle size distribution is an important aerosol property parameter.
Therefore, it is necessary to determine the particle size distribution.
However, the particle size distribution determined by the particle extinction efficiency factor according to the Mie scattering theory is an ill-conditioned integral equation, namely, the Fredholm integral equation of the first kind, which is very difficult to solve.
To avoid solving such an integral equation, the BP neural network prediction model was established.
In the model, the aerosol optical depth obtained by sun photometer CE-318 and kernel functions obtained by Mie scattering theory were used as the inputs of the neural network, particle size distributions collected by the aerodynamic particle sizer APS 3321 were used as the output, and the Levenberg–Marquardt algorithm with the fastest descending speed was adopted to train the model.
For verifying the feasibility of the prediction model, some experiments were carried out.
The results show that BP neural network has a better prediction effect than that of the RBF neural network and is an effective method to obtain the aerosol particle size distribution of the whole atmosphere column using the data of CE-318 and APS 3321.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Ren, Yali& Mao, Jiandong& Zhao, Hu& Zhou, Chunyan& Gong, Xin& Rao, Zhimin…[et al.]. 2020. Prediction of Aerosol Particle Size Distribution Based on Neural Network. Advances in Meteorology،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1126891
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Ren, Yali…[et al.]. Prediction of Aerosol Particle Size Distribution Based on Neural Network. Advances in Meteorology No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1126891
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Ren, Yali& Mao, Jiandong& Zhao, Hu& Zhou, Chunyan& Gong, Xin& Rao, Zhimin…[et al.]. Prediction of Aerosol Particle Size Distribution Based on Neural Network. Advances in Meteorology. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1126891
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1126891
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر