Abstract
This paper presents a wavelet neural network (WNN) controller based on adaptive learning rates (ALRs) method, for active queue management(AQM) in end-to-end TCP network. The AQM is important to regulate the queue length and short round trip time in TCP network. The WNN controller using ALRs adaptively controls the dropping probability of the TCP network. Also the proposed controller is intelligently trained by GD algorithm. The parameters of WNN are tuned by ALRs method. We apply Lyapunov theorem to verify the stability of WNN controller using ALRs. The simulation results show that the performance of WNN controller using ALRs is superior to that of WNN controller using fixed learning rates.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - Fifth Mexican International Conference on Artificial Intelligence, MICAI 2006 |
| Pages | 388-397 |
| Number of pages | 10 |
| DOIs | |
| Publication status | Published - 2006 Dec 1 |
| Event | 5th Mexican International Conference on Artificial Intelligence, MICAI 2006 - Apizaco, Mexico Duration: 2006 Nov 13 → 2006 Nov 17 |
Publication series
| Name | Proceedings - Fifth Mexican International Conference on Artificial Intelligence, MICAI 2006 |
|---|
Other
| Other | 5th Mexican International Conference on Artificial Intelligence, MICAI 2006 |
|---|---|
| Country | Mexico |
| City | Apizaco |
| Period | 06/11/13 → 06/11/17 |
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All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Software
Cite this
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Adaptive wavelet neural network controller for AQM router in TCP network. / Kim, Jae Man; Park, Jin Bae; Choi, Yoon Ho.
Proceedings - Fifth Mexican International Conference on Artificial Intelligence, MICAI 2006. 2006. p. 388-397 4022173 (Proceedings - Fifth Mexican International Conference on Artificial Intelligence, MICAI 2006).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Adaptive wavelet neural network controller for AQM router in TCP network
AU - Kim, Jae Man
AU - Park, Jin Bae
AU - Choi, Yoon Ho
PY - 2006/12/1
Y1 - 2006/12/1
N2 - This paper presents a wavelet neural network (WNN) controller based on adaptive learning rates (ALRs) method, for active queue management(AQM) in end-to-end TCP network. The AQM is important to regulate the queue length and short round trip time in TCP network. The WNN controller using ALRs adaptively controls the dropping probability of the TCP network. Also the proposed controller is intelligently trained by GD algorithm. The parameters of WNN are tuned by ALRs method. We apply Lyapunov theorem to verify the stability of WNN controller using ALRs. The simulation results show that the performance of WNN controller using ALRs is superior to that of WNN controller using fixed learning rates.
AB - This paper presents a wavelet neural network (WNN) controller based on adaptive learning rates (ALRs) method, for active queue management(AQM) in end-to-end TCP network. The AQM is important to regulate the queue length and short round trip time in TCP network. The WNN controller using ALRs adaptively controls the dropping probability of the TCP network. Also the proposed controller is intelligently trained by GD algorithm. The parameters of WNN are tuned by ALRs method. We apply Lyapunov theorem to verify the stability of WNN controller using ALRs. The simulation results show that the performance of WNN controller using ALRs is superior to that of WNN controller using fixed learning rates.
UR - http://www.scopus.com/inward/record.url?scp=34547691157&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34547691157&partnerID=8YFLogxK
U2 - 10.1109/MICAI.2006.6
DO - 10.1109/MICAI.2006.6
M3 - Conference contribution
AN - SCOPUS:34547691157
SN - 0769527221
SN - 9780769527222
T3 - Proceedings - Fifth Mexican International Conference on Artificial Intelligence, MICAI 2006
SP - 388
EP - 397
BT - Proceedings - Fifth Mexican International Conference on Artificial Intelligence, MICAI 2006
ER -