Showing 1 - 20 results of 290 for search '"Beihai"', query time: 0.18s Refine Results
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    Application of a Hybrid Optimized BP Network Model to Estimate Water Quality Parameters of Beihai Lake in Beijing by Jianzhuo Yan, Zongbao Xu, Yongchuan Yu, Hongxia Xu, Kaili Gao

    Published 2019-05-01
    “…This paper proposes a hybrid optimized algorithm involving a particle swarm optimization (PSO) and genetic algorithm (GA) combined BP neural network that can predict the water quality in time series and has good performance in Beihai Lake in Beijing. The data sets consist of six water quality parameters which include Hydrogen Ion Concentration (pH), Chlorophyll-a (CHLA), Hydrogenated Amine (NH4H), Dissolved Oxygen (DO), Biochemical Oxygen Demand (BOD), and electrical conductivity (EC). …”
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    Advances in materials and materials processing : selected, peer reviewed papers from the 2012 International Conference on Advances in Materials and Manufacturing (ICAMMP 2012), December 22-23, 2012, Beihai, China / by International Conference on Advances in Materials and Manufacturing (2012 : Beihai, China), Jiang, Zhengyi, editor, Liu, Xianghua, Jiao, Sihai, editor, Han, Jingtao

    Published 2013
    “…Selected, peer reviewed papers from the 2012 International Conference on Advances in Materials and Manufacturing Processes (ICAMMP 2012), December 22-23, 2012, Beihai, China. The 508 papers are grouped as follows: Chapter 1: Composites; Chapter 2: Micro/Nano Materials and Ceramic; Chapter 3: Polymers and Biomaterials; Chapter 4: Optical/Electronic/Magnetic Materials; Chapter 5: Chemical Materials and Technologies; Chapter 6: Energy Materials; Chapter 7: Iron and Steel; Chapter 8: Metal Alloy Materials; Chapter 9: Materials for Building and Structures; Chapter 10: Mechanics of Materials; Chapter 11: Environmental. …”
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