Responses to the letter on "Transfer learning for neural network model in Chlorophyll-a dynamics prediction"

Affiliations

• ¹ College of Civil Engineering and Architecture, Xinjiang University, Xinjiang, 830046, People's Republic of China. zl_liao@tongji.edu.cn.
• ² Key Laboratory of Yangtze River Water Environment (Ministry of Education), Tongji University, Shanghai, 200092, People's Republic of China. zl_liao@tongji.edu.cn.
• ³ UNEP-Tongji Institute of Environment for Sustainable Development, College of Environmental Science and Engineering, Tongji University, Shanghai, 200092, People's Republic of China. zl_liao@tongji.edu.cn.
• ⁴ Shanghai Institute of Pollution Control and Ecological Security, Shanghai, 200092, People's Republic of China. zl_liao@tongji.edu.cn.
• ⁵ Key Laboratory of Yangtze River Water Environment (Ministry of Education), Tongji University, Shanghai, 200092, People's Republic of China. wenchong@tongji.edu.cn.
• ⁶ UNEP-Tongji Institute of Environment for Sustainable Development, College of Environmental Science and Engineering, Tongji University, Shanghai, 200092, People's Republic of China. wenchong@tongji.edu.cn.
• ⁷ Shanghai Institute of Pollution Control and Ecological Security, Shanghai, 200092, People's Republic of China. wenchong@tongji.edu.cn.
• ⁸ Key Laboratory of Yangtze River Water Environment (Ministry of Education), Tongji University, Shanghai, 200092, People's Republic of China.
• ⁹ UNEP-Tongji Institute of Environment for Sustainable Development, College of Environmental Science and Engineering, Tongji University, Shanghai, 200092, People's Republic of China.
• ¹⁰ Shanghai Institute of Pollution Control and Ecological Security, Shanghai, 200092, People's Republic of China.