A new approach for call admission control using fuzzy logic based on neural networks is proposed.This approach can select preliminary parameters properly

have self learning ability by combining the benefits of neural networks and fuzzy logic.Simulation results show that the approach can use less training data

has higher decision accuracy

and saves a large smount of training time

so it is superior in comparison with analytical methods and neural networks methods.