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64篇 您的检索式:作者名="Joo Meng"
    题名 作者 年代 出处 被引量
1Adaptive noise cancellation using enhanced dynamic fuzzy neural networks显示文摘MENG JOO ER ZHENGRONG LI HUANGING CAI 2005IEEE Transactions on Fuzzy Systems2005,13,3:1
2A fast and accurate online self-organizing scheme for parsimonious fuzzy neural networks显示文摘Wang Ning Meng Joo Er Meng Xianyao 2009Neurocomputing2009,72,161718:1
3A High Performance Neural-Networks-Based Speech Recognition System 显示文摘Song Yang Meng Joo Er and Yang Gao 2001IEEE2001,,:1
4Online adaptive fuzzy neural identification and control of a class of MIMO nonlinear systems显示文摘Yang Gao Meng Joo 2003IEEE Transactions on Fuzzy Systems2003,11,4:1
5Real-time implementation of a dynamic fuzzy neural networks controller for a SCARA 显示文摘Meng Joo Er Chang Boon Low Khuan Holm Nah 2002Microprocessors and Microsystems2002,,26:1
6Face recognition with radial basis function (RBF) neural networks显示文摘Meng Joo Er Wu Shiqian Lu Juwei 2002IEEE Transactions on Neural Networks2002,13,3:1
7Clock-turning gait synthesis for humanoid robots显示文摘Turning gait is a basic motion for humanoid robots. This paper presents a method for humanoid turning, i.e. clock-turning. The objective of clock-turning is to change robot direction at a stationary spot. The clock-turning plan-ning consists of four steps: ankle trajectory generation, hip trajectory generation, knee trajectory generation, and inverse kinematics calculation. Our proposed method is based on a typical humanoid structure with 12 DOFs (degrees of freedom). The final output of clock-turning planning is 12 reference trajectories, which are used to control a humanoid robot with 12 DOFs. ZMP (zero moment point) is used as stability criterion for the planning. Simulation experiments are conducted to verify the effectiveness of our proposed clock-turning method.Zhe TANG Zengqi SUN Hongbo LIU Meng Joo ER 2007控制理论与应用(英文版)2007,5,1:1
8Face Recognition with Radial Function (RBF) Neural Networks显示文摘 2002IEEE Transaction on Neural Network2002,13,3:1
9Face Recognition WithRadial Basis Function(RBF)Neural Network显示文摘Meng Joo Er Shiqian Wu Juwei Lu 2002IEEE Transactions on Neural Networks2002,13,3:1
10Face Recognition with Radial Basis Function (RBF) Neural Networks显示文摘Meng Joo Er Shiqian Wu Juwei Lu Hock Lye Toh 0,,03:1
11Face Recognition With Radial Basis Function(RBF)Neural Networks显示文摘Meng Joo Er Shiqian Wu Juwei Lu 2002Ieee Transactionson Neural Networks2002,13,3:1
12Illumination compensation and normalization for robust face recognition using discrete cosine transform in logarithm domain 显示文摘Chen Wei-long Meng Joo Er Wu Shi-qian 2006IEEE Transactions on Systems Man and Cybernetics-Part B: Cybernetics2006,36,2:1
13Face recognition with radial basis function (RBF) neural networks 显示文摘Meng Joo Er Shiqian Wu Juwei Lu 2002IEEE Transaction on Neural Networks2002,13,3:1
14Recognization with Radial Basis Function (RBF) Neural Network显示文摘MENG Joo ER Shiqian WJA Juwei 2002IEEE Trans on Neural Networks2002,13,03:1
15Stability of Linear Systems With Delayed Perturbations: An LMI Approach 显示文摘 2002IEEE Transactions on Circuits and Systems2002,49,1:1
16Real-time implementation of a dynamic fuzzy neural networks controller for a SCARA显示文摘Meng Joo Er Chang Boon Low Khuan Holm Nah 2002Microprocessor and Microsystems2002,,26:1
17Face Recognition with Radial Basis Function(RBF)Neural networks显示文摘Meng Joo Er 2002IEEE Transactions on Neural Networks2002,13,3:1
18Obstacle avoidance of a mobile robot using hybrid learning approach 显示文摘Meng Joo ER Chang Deng 2005IEEE Transactions on Indus- trial Electronics2005,52,3:1
19Obstacle avoidance of a mobile robot using hybrid learning approach显示文摘Meng Joo Er Chang Deng 2005IEEE Trans on Industrial Electronics2005,52,3:1
20Automatic generation of fuzzy inference systems via unsupervised learning显示文摘Meng Joo Er Yi Zhou 2008Neural Networks2008,21,10:1
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