A method of applying data fusion technology to computer generated forces modeling is presented. It first analyzes data fusion technology, then discusses in detail the filtering method of combining Kalman filtering and least square, and an improved Hopfield neural network as well. With applying these models to a practical system, the simulation result is given. It holds a great promise of combining data fusion technology with CGF modeling.