Levenberg marquardt algorithm for the training of type-2 fuzzy neuro systems with a novel type-2 fuzzy membership function
暂无分享,去创建一个
Mojtaba Ahmadieh Khanesar | Mohammad Teshnehlab | Okyay Kaynak | Erdal Kayacan | M. A. Khanesar | O. Kaynak | E. Kayacan | M. Teshnehlab
[1] Jerry M. Mendel,et al. Stability analysis of type-2 fuzzy systems , 2008, 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence).
[2] Wei Chen,et al. A fuzzy pattern recognition method of radar signal based on neural network , 2010, 2010 Sixth International Conference on Natural Computation.
[3] Robert Babuska,et al. Efficient training algorithm for Takagi-Sugeno type neuro-fuzzy network , 2001, 10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297).
[4] Woei Tan,et al. Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions (Mendel, J.M.; 2001) [book review] , 2007, IEEE Computational Intelligence Magazine.
[5] Sung-Suk Kim,et al. Development of Quantum-Based Adaptive Neuro-Fuzzy Networks , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[6] Francis T.K. Au,et al. Acceleration of Levenberg-Marquardt training of neural networks with variable decay rate , 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..
[7] Mohammad Sadegh Shahidzadeh,et al. Damage detection using a new regularization method with variable parameter , 2010 .
[8] L.T. Koczy,et al. Supervised training algorithms for B-spline neural networks and fuzzy systems , 2001, Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569).
[9] Jin Zhao,et al. The application of fuzzy neural network in ship course control system , 2010, 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery.
[10] Mojtaba Ahmadieh Khanesar,et al. A novel type-2 fuzzy membership function: application to the prediction of noisy data , 2010, 2010 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications.
[11] L. Glass,et al. Oscillation and chaos in physiological control systems. , 1977, Science.
[12] Okyay Kaynak,et al. A type-2 neuro-fuzzy system based on clustering and gradient techniques applied to system identification and channel equalization , 2011, Appl. Soft Comput..
[13] Yong Peng,et al. A Fuzzy Optimization Neural Network Model Using Second Order Information , 2009, 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery.
[14] W. TanW.,et al. Uncertain Rule-Based Fuzzy Logic Systems , 2007 .
[15] Jerry M. Mendel,et al. Interval type-2 fuzzy logic systems: theory and design , 2000, IEEE Trans. Fuzzy Syst..
[16] Oscar Castillo,et al. An improved method for edge detection based on interval type-2 fuzzy logic , 2010, Expert Syst. Appl..
[17] Liu Kun,et al. Fuzzy neural networks pattern recognition method and its application in ultrasonic detection for bonding defect of thin composite materials , 2009, 2009 IEEE International Conference on Automation and Logistics.
[18] Fei Wang,et al. Gait pattern estimation for intelligent bionic leg , 2008, 2008 Chinese Control and Decision Conference.