Title :
Neuro-fuzzy performance management of factory automation networks
Author :
Lee, Sang-ho ; Son, Joon-woo ; Suk Lee ; Lee, Man Hyung ; Lee, Jangmyung ; Bae, Jong II ; Lee, Jong-nyun
Author_Institution :
Sch. of Mech. Eng., Pusan Nat. Univ., South Korea
Abstract :
This paper focuses on performance management of computer communication networks serving manufacturing systems. The performance management aims to improve the network performance in handling various types of messages by on-line adjustment of protocol parameters. The principles of fuzzy logic and neural network have been used in formulating the performance management rules and in deriving management decisions. A performance management procedure developed for IEEE 802.4 protocol standard has been evaluated via discrete event simulation
Keywords :
computer network management; discrete event simulation; factory automation; fuzzy neural nets; production engineering computing; protocols; token networks; IEEE 802.4 protocol standard; computer communication networks; discrete event simulation; factory automation networks; fuzzy logic; management decisions; manufacturing systems; network performance improvement; neuro-fuzzy performance management; on-line adjustment; performance management; protocol parameters; token bus protocol; Communication networks; Computer aided manufacturing; Computer network management; Computer networks; Fuzzy logic; Manufacturing automation; Manufacturing systems; Neural networks; Protocols; Standards development;
Conference_Titel :
Industrial Electronics, 1997. ISIE '97., Proceedings of the IEEE International Symposium on
Conference_Location :
Guimaraes
Print_ISBN :
0-7803-3936-3
DOI :
10.1109/ISIE.1997.651783
