Abstract
The state of algae reproduction is a key index for the status of water quality for seashore and river. Algae growth is affected by many physical-chemical factors, this kind of complex relationship is difficult to be described by ordinary mechanism expression. Fuzzy BP model can describe the complex nonlinear system better, and can give a dynamic estimate to the output variables of the system. PCA(Principal Component Analysis) method can reduce the dimension of the sample data, simplify the complexity of the model system, meanwhile it can make the model has a faster convergence rate and a relative low dimension. The practical testing illustrates that fuzzy BP model based on PCA can be applied in state prediction for algae growth to good purpose.
This project is supported by the key subject foundation of Shanghai Education Commission (No. J50602).
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© 2012 Springer-Verlag GmbH Berlin Heidelberg
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Zhang, Y., Li, C., Xie, Z., Zhang, Y. (2012). A Modeling Method of State Prediction for Algae Growth in Coastal Water. In: Hu, W. (eds) Advances in Electric and Electronics. Lecture Notes in Electrical Engineering, vol 155. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28744-2_20
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DOI: https://doi.org/10.1007/978-3-642-28744-2_20
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