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EXISTENCE AND GLOBALLY EXPONENTIAL STABILITY OF PERIODIC SOLUTION OF IMPULSIVE FUZZY BAM NEURAL NETWORKS WITH DISTRIBUTED DELAYS AND VARIABLE COEFFICIENTS
Zhang. Qianhong, Yang. Lihui, Liao. Daixi 한국전산응용수학회 Journal of applied mathematics & informatics 19 Pages
한국전산응용수학회 Journal of applied mathematics & informatics 2012, Vol.30 No.5 1031-1049 (19 pages)
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A CANONICAL REPRESENTATION FOR THE SOLUTION OF FUZZY LINEAR SYSTEM AND FUZZY LINEAR PROGRAMMING PROBLEM
NEHI. HASSAN MISHMAST, MALEKI. HAMID REZA, MASHINCHI. MASHAALAH 한국전산응용수학회 Journal of applied mathematics & computing 10 Pages
한국전산응용수학회 Journal of applied mathematics & computing 2006, Vol.20 No.1 345-354 (10 pages)
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Fuzzy Hint Acquisition for the Collision Avoidance Solution of Redundant Manipulators Using Neural Network
Assal. Samy F. M., Watanabe. Keigo, Izumi. Kiyotaka 제어로봇시스템학회 International Journal of Control, Automation and Systems 13 Pages
제어로봇시스템학회 International Journal of Control, Automation and Systems 2006, Vol.4 No.1 17-29 (13 pages)
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Performance Evaluation of AODV Using Fuzzy Logic to Reduce Congestion in MANET
Vikas Thakur, Laxmi Shrivastava, Sarita S.Bhadauria 인문사회과학기술융합학회 예술인문사회융합멀티미디어논문지 9 Pages
인문사회과학기술융합학회 예술인문사회융합멀티미디어논문지 2015, 제 5권 제 5호 1 1-9 (9 pages)
rge size networks. Congestion degrades the performance of overall network drastically. Many algorithms have been proposed to handle the congestion famous one are the active que management algorithms (AQMs). But still there is no universally accepted solution for it. In this paper a congestion control solution is devised using fuzzy logic controller. In this node density and load are taken as input and packet drop probability as output, which is effective to control congestion in large networks.


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