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An intelligent control approach for blood pressure system using self-generating fuzzy neural networks.

, and . ICARCV, page 2185-2190. IEEE, (2010)

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Robust adaptive control of robot manipulators using generalized fuzzy neural networks., and . IEEE Trans. Ind. Electron., 50 (3): 620-628 (2003)Analysis of Hop-Count-Based Source-to-Destination Distance Estimation in Wireless Sensor Networks With Applications in Localization., , and . IEEE Trans. Veh. Technol., 59 (6): 2998-3011 (2010)A Novel Reinforcement Learning Approach for Automatic Generation of Fuzzy Inference Systems., and . FUZZ-IEEE, page 100-105. IEEE, (2006)Adaptive fuzzy neural modeling and control scheme for mean arterial pressure regulation., and . IROS, page 1198-1203. IEEE, (2003)A systematic method to guide the choice of ridge parameter in ridge extreme learning machine., , and . ICCA, page 852-857. IEEE, (2013)Nonlinear System Identification Using Extreme Learning Machine., and . ICARCV, page 1-4. IEEE, (2006)Self-Generation of Fuzzy Inference Systems by Enhanced Dynamic Self-Generated Fuzzy Q-Learning., and . ICARCV, page 1-6. IEEE, (2006)Adaptive control strategy for blood pressure regulation using a fuzzy neural network., and . SMC, page 2120-2125. IEEE, (2003)Gait Synthesis Self-generation by Dynamic Fuzzy Q-Learning Control of Humanoid Robots., , and . SMC, page 4231-4236. IEEE, (2006)Decentralized Adaptive Fuzzy Iterative Learning Control for Repeatable Nonlinear Interconnected Systems., and . SMC, page 1710-1715. IEEE, (2006)