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Volumn 18, Issue 4, 2006, Pages 827-831
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Prediction of the concentration of chlorophyll-a for Liuhai urban lakes in Beijing City
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Author keywords
Artificial neural networks; Beijing City; Eutrophication; Forecast; Liuhai lakes; Multi varieties regression
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Indexed keywords
FRESH WATER ALGAE;
MULTI-VARIETIES REGRESSION;
PRINCIPLE ANALYSIS;
ALGAE;
EUTROPHICATION;
FORECASTING;
LAKE POLLUTION;
LEARNING ALGORITHMS;
NEURAL NETWORKS;
OPTIMIZATION;
REGRESSION ANALYSIS;
SENSITIVITY ANALYSIS;
WATER QUALITY;
CHLOROPHYLL;
CHLOROPHYLL;
CHLOROPHYLL A;
FRESH WATER;
ALGAE;
CHLOROPHYLL;
EUTROPHICATION;
FORECASTING;
LAKE POLLUTION;
LEARNING ALGORITHMS;
NEURAL NETWORKS;
OPTIMIZATION;
REGRESSION ANALYSIS;
SENSITIVITY ANALYSIS;
WATER QUALITY;
ALGAL BLOOM;
ARTIFICIAL NEURAL NETWORK;
CHLOROPHYLL A;
EUTROPHICATION;
REGRESSION ANALYSIS;
WATER QUALITY;
ARTICLE;
ARTIFICIAL NEURAL NETWORK;
BIOLOGICAL MODEL;
CHINA;
ENVIRONMENTAL MONITORING;
EUTROPHICATION;
METABOLISM;
METHODOLOGY;
PREDICTION AND FORECASTING;
PREDICTIVE VALUE;
PRINCIPAL COMPONENT ANALYSIS;
STATISTICAL MODEL;
TEMPERATURE;
CHINA;
CHLOROPHYLL;
ENVIRONMENTAL MONITORING;
EUTROPHICATION;
FRESH WATER;
LINEAR MODELS;
MODELS, BIOLOGICAL;
NEURAL NETWORKS (COMPUTER);
PREDICTIVE VALUE OF TESTS;
PRINCIPAL COMPONENT ANALYSIS;
TEMPERATURE;
ASIA;
BEIJING [CHINA];
CHINA;
EURASIA;
FAR EAST;
ALGAE;
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EID: 33749332110
PISSN: 10010742
EISSN: None
Source Type: Journal
DOI: None Document Type: Article |
Times cited : (10)
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References (14)
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