Chlorophyll-a predicting based on artificial neural network for marine cage fish farming area in dapeng cove in Daya Bay, South China Sea

Base on the 201 groups of data that accepted in the last ten years, a 3 layer (3,8,1) BP artificial neural network model on quickly predicting chlorophyll-a concentration in marine cage fish farming area was established. The model was established in software MATLAB7.1 (MATTrix LABoratory) using BP n...

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Hauptverfasser:	Xiuli Liao, Honghui Huang, Ming Dai, Zhanhui Qi
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Artificial neural networks Biological system modeling BP artificial neural network chlorophyll-a Data models Linear regression marine cage fish farming area Mathematical model predict Predictive models Tides
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