Estimation on shooter based on fuzzy neural net model

In the system of image guided missile, shooter often needs to acquire, capture target and control missile to trace, attack target. To estimate a shooter, common fuzzy neural net (FNN) shooter model was improved by increasing the number of fuzzy subsets defined on the universe of discourse of input and output. Two methods based on the improved FNN shooter model were proposed. Simulation results show that both of the methods can compare and estimate shooter effectively, which is helpful for choosing and training shooter.