Application the Grey Neural Network to Evaluate the Water Quality of the Yangtze Estuary Wetland

Abstract:

Based on the Grey neural network, combine with the sampling data from Yangtze estuary wetland which measured in fifteen sampling site in raising tide and falling tide in May 2010 to intelligent comprehensive evaluation the sea water quality of Yangtze estuary wetland. The results showed that the sea water quality of sampling data wereⅠ.The precision of training and testing data set showed the Grey neural network had good generalization capacity, with good fitting precision and strongly predictive ability. It can be used to similar data set calculation.

• Periodical: Advanced Materials Research (Volumes 971-973)
• Pages: 2180-2185
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.971-973.2180
• Online since: June 2014
• Authors: Sheng Long Yang
• Keywords: Grey Neural Network, Water Quality, Yangtze Estuary Wetland

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