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An improved Wavelet De-noising-based Back Propagation neural network model to forecast the bioaerosol concentration
Aerosol Science and Technology ( IF 2.8 ) Pub Date : 2020-12-01 , DOI: 10.1080/02786826.2020.1846678 Xiaonan Li 1, 2 , Xi Cheng 1 , Wenjian Wu 1 , Qinghua Wang 1 , Zhaoyang Tong 3 , Xiaoqing Zhang 4 , Dahai Deng 5 , Yihe Li 1 , Xinbao Gao 2
Aerosol Science and Technology ( IF 2.8 ) Pub Date : 2020-12-01 , DOI: 10.1080/02786826.2020.1846678 Xiaonan Li 1, 2 , Xi Cheng 1 , Wenjian Wu 1 , Qinghua Wang 1 , Zhaoyang Tong 3 , Xiaoqing Zhang 4 , Dahai Deng 5 , Yihe Li 1 , Xinbao Gao 2
Affiliation
Detection, monitoring and estimation of bioaerosol concentration have become increasingly important for several reasons, particularly for environmental quality monitoring and public health concerns...
中文翻译：
一种改进的基于小波去噪的反向传播神经网络模型预测生物气溶胶浓度
由于多种原因，生物气溶胶浓度的检测、监测和估计变得越来越重要，特别是对于环境质量监测和公共卫生问题……
更新日期：2020-12-01
中文翻译：
一种改进的基于小波去噪的反向传播神经网络模型预测生物气溶胶浓度
由于多种原因，生物气溶胶浓度的检测、监测和估计变得越来越重要，特别是对于环境质量监测和公共卫生问题……
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