Journal of the Korean Society for Precision Engineering (한국정밀공학회지)
- Volume 14 Issue 4
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- Pages.46-55
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- 1997
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- 1225-9071(pISSN)
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- 2287-8769(eISSN)
Development of MAP Network Performance Manger Using Artificial Intelligence Techniques
인공지능에 의한 MAP 네트워크의 성능관리기 개발
- Published : 1997.04.01
Abstract
This paper presents the development of intelligent performance management of computer communication networks for larger-scale integrated systems and the demonstration of its efficacy using computer simula- tion. The innermost core of the performance management is based on fuzzy set theory. This fuzzy perfor- mance manager has learning ability by using principles of neuro-fuzzy model, neuralnetwork, genetic algo- rithm(GA). Two types of performance managers are described in this paper. One is the Neuro-Fuzzy Per- formance Manager(NFPM) of which learning ability is based on the conventional gradient method, and the other is GA-based Neuro-Fuzzy Performance Manager(GNFPM)with its learning ability based on a genetic algorithm. These performance managers have been evaluated via discrete event simulation of a computer network.
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