R. G. Cheng, C. J. Chang, and L. F. Lin, “A QoS- provisioning neural fuzzy connection admission controller for multimedia high-speed networks,” IEEE/ ACM Transactions on Networking, Vol. 7, No. 1, pp. 111-121, 1999.
 M. Lestas, A. Pitsillides, P. Ioannou, and G. Hadjipollas, “Adaptive congestion protocol: A congestion control protocol with learning capability,” Computer Networks: The International Journal of Computer and Telecommunications Networking, Vol. 51, No. 13. pp. 3773-3798, September 2007.
 M. C. Hsiao, S. W. Tan, K. S. Hwang, and C. S. Wu, “A reinforcement learning approach to congestion control of high-speed multimedia networks,” Cybernetics and Systems, Vol. 36, No. 2, pp. 181-202, January 2005.
 K. S. Hwang, S. W. Tan, M. C. Hsiao, and C. S. Wu, “Cooperative multiagent congestion control for high- speed networks,” IEEE Transactions on System, Man, and Cybernetics-Part B: Cybernetics, Vol. 35, No. 2, pp. 255-268, April 2005.
 X. Li, X. J. Shen, Y. W. Jing, and S. Y. Zhang, “Simulated annealing-reinforcement learning algorithm for ABR traffic control of ATM networks,” in Proceedings of the 46th IEEE Conference on Decision and Control, New Orleans, LA, USA, pp. 5716-5721, December 2007.
 X. Li, Y. W. Jing, G. M. Dimirovski, and S. Y. Zhang, “Metropolis criterion based Q-learning flow control for high-speed networks,” in 17th International Federation of Automatic Control (IFAC) World Congress, Seoul, Korea, pp. 11995-12000, July 2008.
 D. B. Gu, and E. F. Yang, “A policy gradient reinforcement learning algorithm with fuzzy function approximation,” in Proceedings of the 2004 IEEE International Conference on Robotics and Biomimetics, Shenyang, China, pp. 934-940, August 2004.
 Y. Zhou, M. J. Er, and Y. Wen, “A hybrid approach for automatic generation of fuzzy inference systems without supervised learning,” in Proceedings of the 2007 American Control Conference, New York City, USA, pp. 3371-3376, July 2007.