An approach of recursive timing deep belief network for algal bloom forecasting

Author:

Wang Li,Zhang Tianrui,Jin Xuebo,Xu Jiping,Wang Xiaoyi,Zhang Huiyan,Yu Jiabin,Sun Qian,Zhao Zhiyao,Xie Yuxin

Funder

National Natural Science Foundation of China

Support Project of High-level Teachers in Beijing Municipal Universities in the Period of 13th Five–year Plan

Major Project of Beijing Municipal Education Commission science and technology development plans

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference23 articles.

1. Jin M, Ren Z, Shi JP et al (2010) Impact of agricultural non-point source pollution in eutrophic: water body of Taihu Lake. Environ Sci Technol 33(10):106–111

2. Li Y, Cao W, Su C et al (2011) Nutrient sources and composition of recent algal blooms and eutrophication in the northern Jiulong River, Southeast China. Mar Pollut Bull 63(5–12):249

3. Liu Z, Wu Q, Wang X et al (2008) Algae growth modeling based on optimization theory and application to water-bloom prediction. CIESC J 59(7):1869–1873

4. Wang L, Gao C, Wang X et al (2017) Nonlinear dynamics analysis and water bloom prediction of cyanobacteria growth time variation system. CIESC J 68(3):1065–1072

5. Klaychang W, Pochai N (2015) A numerical treatment of a non-dimensional form of a water quality model in the Rama-nine reservoir. J Interdiscip Math 18(4):375–394

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