Conference
Water-bloom medium-term prediction based on Gray-BP neural network method
Abstract
On the basis of studying the mechanism of water bloom, one kind of gray-BP artificial neural network forecasting method is proposed in the paper. The gray theory was used to obtain preliminary forecast of the occurrence trend of water bloom, combined with neural network to implement error compensation for the forecast result. Compared with BP, this method can predict chlorophyll change trend more accurately, and significantly improve the …
Authors
Zhu S; Liu Z; Wang X; Dai J
Pagination
pp. 673-676
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
December 1, 2009
DOI
10.1109/dasc.2009.14
Name of conference
2009 Eighth IEEE International Conference on Dependable, Autonomic and Secure Computing