We construct a new method in data fitting fields.Usually

in traditional BP neural network model

data fitting may become trapped at a local minimum.By using the new Double Weights Model

this algorithm can give the Direction Weight

also the Central Weight at the same time.Experimental results show that this algorithm can get more accurate fitting effects and use less generations to calculate

compared with the RBF (Radial Basis Functions) while using the same environment and equal network scale.Data fitting on it should be a new method to modern industry applications in data control and analyses and so on.