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.