Study on the Salinity Modeling Based on RBF Neural Network

A new RBF neural network is introduced and at the same time, its' structure, feature and principium are also expatiated. Contrasting with BP neural network model, it has faster convergence and better precision when it is used in the salinity modeling. A BP neural network model is set up and trained in this paper, in order to approach compensate the effects of improves non-linearity. Test proves it is practical and dependable in the field of salinity modeling and has nice applied prospect.