Abstract

According to distributed inference and decision theory, a dynamic and correlative judged model can be set up for the service interaction and dynamic detection problem in an intelligent network (IN). The correlation between the services was judged by using the distributed neural inference mechanism and service independent building block (SIBs) parameters as judging conditions. By analyzing the results, the target for the dynamic detection of the service interactions was achieved.

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