Seawater temperature model from Argo data by LM-BP neural network in Northwest Pacific Ocean

Using the LM-BP neural network and choosing the sea surface temperature,longitude,latitude and depth obtained from Argo data in 2007 as input parameters,the seawater temperature model of the Northwest Pacific Ocean was built.Using the root-mean-square error(RMSE) and the Pearson's correlation coefficient(R) as test indices,the model was evaluated by the data in the period 2008 ~ 2009.The results were that the RMSE was 0.714 0 ℃ and R was 0.996 8 in 2008.The RMSE was 0.761 5 ℃ and R was 0.996 5 in 2009.It shown this seawater temperature model was.