Distributed neural inference mechanism and its application in detection of feature interactions in IN

Author

Huang Yu Lan ; Xia, Li Zhong

Author_Institution

Changchun Inst. of Posts & Telecommun., China

Volume

2

fYear

1999

fDate

18-22 Oct. 1999

Firstpage

1097

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.

Keywords

correlation methods; decision theory; inference mechanisms; intelligent networks; neural net architecture; telecommunication computing; IN; SIB parameters; correlative judged model; decision theory; distributed neural inference mechanism; dynamic detection problem; dynamic model; feature interactions detection; intelligent network; judging conditions; neural architecture; service correlation; service independent building block; service interaction; Communication networks; Computer vision; Decision theory; Environmental economics; Inference mechanisms; Intelligent control; Intelligent networks; Production; Protocols; Recruitment;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, 1999. APCC/OECC '99. Fifth Asia-Pacific Conference on ... and Fourth Optoelectronics and Communications Conference

Conference_Location

Beijing, China

Print_ISBN

7-5635-0402-8

Type

conf

DOI

10.1109/APCC.1999.820455

Filename

820455