Abstract: The traffic of calls is a very important parameter in degree measurement for telephone equipment frequency used by users.The distribution of the traffic of calls presents the characteristics of tridimesionality,more services and none-Possion flow,in this case,the Erlang B formula can’t be applied to compute wireless block ratio directly.Therefore,according to the computational intelligence,a new method of evolutionary neural computation based on Particle Swarm Optimization（PSO） is presented to analyze and forecast the traffic of calls,the main process includes acquiring data and normalizing,such as traffic of calls,optimizing the structure of neural network,training network by PSO,calculating traffic of calls.By researching on service of personal handy phone call about a networks telecommunication company in Hebei province,the calculating model is set up with the sample information,which includes wireless block ratio,call completing ratio,call dropping ratio.The accuracy of the traffic of calls calculated by the model is very high,which shows the effect of the method is remarkable.