OPTIMIZED POLYNOMIAL FUZZY SWARM NET FOR CLASSIFICATION

[1]  Rahim Saeidi,et al.  Particle Swarm Optimization for Sorted Adapted Gaussian Mixture Models , 2009, IEEE Transactions on Audio, Speech, and Language Processing.

[2]  Sung-Bae Cho,et al.  A Notable Swarm Approach to Evolve Neural Network for Classification in Data Mining , 2008, ICONIP.

[3]  Ganapati Panda,et al.  Reduced polynomial neural swarm net for classification task in data mining , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

[4]  Salman Mohagheghi,et al.  Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems , 2008, IEEE Transactions on Evolutionary Computation.

[5]  Awang Bono,et al.  Application of ultrasonic waves coupled with functional link neural network for estimation of carrageenan concentration , 2008 .

[6]  Leandro dos Santos Coelho,et al.  Fuzzy Identification Based on a Chaotic Particle Swarm Optimization Approach Applied to a Nonlinear Yo-yo Motion System , 2007, IEEE Transactions on Industrial Electronics.

[7]  Jigui Sun,et al.  An Improved Discrete Particle Swarm Optimization Algorithm for TSP , 2007, 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops.

[8]  C.A. Castro,et al.  Power System Loading Margin Estimation Using a Neuro-Fuzzy Approach , 2007, IEEE Transactions on Power Systems.

[9]  Wan-De Weng,et al.  A channel equalizer using reduced decision feedback Chebyshev functional link artificial neural networks , 2007, Inf. Sci..

[10]  Zengqiang Chen,et al.  New Chaotic PSO-Based Neural Network Predictive Control for Nonlinear Process , 2007, IEEE Transactions on Neural Networks.

[11]  J.G. Vlachogiannis,et al.  A Comparative Study on Particle Swarm Optimization for Optimal Steady-State Performance of Power Systems , 2006, IEEE Transactions on Power Systems.

[12]  Visakan Kadirkamanathan,et al.  Stability analysis of the particle dynamics in particle swarm optimizer , 2006, IEEE Transactions on Evolutionary Computation.

[13]  Joseph C. Chen,et al.  Development of a fuzzy-nets-based in-process surface roughness adaptive control system in turning operations , 2006, Expert Syst. Appl..

[14]  T.O. Ting,et al.  A novel approach for unit commitment problem via an effective hybrid particle swarm optimization , 2006, IEEE Transactions on Power Systems.

[15]  N. Franken,et al.  Combining particle swarm optimisation with angle modulation to solve binary problems , 2005, 2005 IEEE Congress on Evolutionary Computation.

[16]  Leandro dos Santos Coelho,et al.  Particle swarm optimization (PSO) applied to fuzzy modeling in a thermal-vacuum system , 2005, Fifth International Conference on Hybrid Intelligent Systems (HIS'05).

[17]  Wen-Chung Liu,et al.  Design of a multiband CPW-fed monopole antenna using a particle swarm optimization approach , 2005 .

[18]  YuShen Wang,et al.  Adaptive inverse control based on particle swarm optimization algorithm , 2005, IEEE International Conference Mechatronics and Automation, 2005.

[19]  Riccardo Poli,et al.  Exploring extended particle swarms: a genetic programming approach , 2005, GECCO '05.

[20]  Alex Alves Freitas,et al.  A hybrid particle swarm/ant colony algorithm for the classification of hierarchical biological data , 2005, Proceedings 2005 IEEE Swarm Intelligence Symposium, 2005. SIS 2005..

[21]  Chao-Ming Huang,et al.  A particle swarm optimization to identifying the ARMAX model for short-term load forecasting , 2005 .

[22]  B. Zhao,et al.  A multiagent-based particle swarm optimization approach for optimal reactive power dispatch , 2005, IEEE Transactions on Power Systems.

[23]  Leszek Rutkowski,et al.  Designing and learning of adjustable quasi-triangular norms with applications to neuro-fuzzy systems , 2005, IEEE Transactions on Fuzzy Systems.

[24]  M.M. Noel,et al.  Simulation of a new hybrid particle swarm optimization algorithm , 2004, Thirty-Sixth Southeastern Symposium on System Theory, 2004. Proceedings of the.

[25]  Michael N. Vrahatis,et al.  A first study of fuzzy cognitive maps learning using particle swarm optimization , 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

[26]  Sung-Kwun Oh,et al.  Polynomial neural networks architecture: analysis and design , 2003, Comput. Electr. Eng..

[27]  Raghuveer M. Rao,et al.  Particle swarm optimization for the clustering of wireless sensors , 2003, SPIE Defense + Commercial Sensing.

[28]  James Kennedy,et al.  Bare bones particle swarms , 2003, Proceedings of the 2003 IEEE Swarm Intelligence Symposium. SIS'03 (Cat. No.03EX706).

[29]  E. Biscaia,et al.  The use of particle swarm optimization for dynamical analysis in chemical processes , 2002 .

[30]  Imtiaz Ahmad,et al.  Particle swarm optimization for task assignment problem , 2002, Microprocess. Microsystems.

[31]  M. A. Abido.  Optimal des'ign of Power System Stabilizers Using Particle Swarm Opt'imization , 2002, IEEE Power Engineering Review.

[32]  K. N. Srivastava,et al.  Degree of insecurity estimation in a power system using functional link neural network , 2002 .

[33]  Michael N. Vrahatis,et al.  Particle swarm optimization for integer programming , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

[34]  Peter J. Bentley,et al.  Don't push me! Collision-avoiding swarms , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

[35]  Zhenya He,et al.  Swarm directions embedded in fast evolutionary programming , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

[36]  Yuhui Shi,et al.  Co-evolutionary particle swarm optimization to solve min-max problems , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

[37]  C.A. Coello Coello,et al.  MOPSO: a proposal for multiple objective particle swarm optimization , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

[38]  Michael N. Vrahatis,et al.  Particle swarm optimization for minimax problems , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

[39]  Wenjun Zhang,et al.  Dissipative particle swarm optimization , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

[40]  J. Kennedy,et al.  Population structure and particle swarm performance , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

[41]  P. Fourie,et al.  The particle swarm optimization algorithm in size and shape optimization , 2002 .

[42]  Hazim El-Mounayri,et al.  NC end milling optimiza-tion using evolutionary computation , 2002 .

[43]  Ludmila I. Kuncheva,et al.  Switching between selection and fusion in combining classifiers: an experiment , 2002, IEEE Trans. Syst. Man Cybern. Part B.

[44]  D. Agrafiotis,et al.  Feature selection for structure-activity correlation using binary particle swarms. , 2002, Journal of medicinal chemistry.

[45]  Tapabrata Ray,et al.  A Swarm Metaphor for Multiobjective Design Optimization , 2002 .

[46]  Sung-Kwun Oh,et al.  A study on the self-organizing polynomial neural networks , 2001, Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569).

[47]  Thomas Kiel Rasmussen,et al.  Hybrid Particle Swarm Optimiser with breeding and subpopulations , 2001 .

[48]  Russell C. Eberhart,et al.  Tracking and optimizing dynamic systems with particle swarms , 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).

[49]  Rudolf Kruse,et al.  Data mining with neuro-fuzzy models , 2001 .

[50]  Jacek M. Leski,et al.  Fuzzy and Neuro-Fuzzy Intelligent Systems , 2000, Studies in Fuzziness and Soft Computing.

[51]  Hitoshi Iba,et al.  Automated Discovery of Polynomials by Inductive Genetic Programming , 1999, PKDD.

[52]  Harpreet Singh,et al.  A neuro fuzzy logic approach to material processing , 1999, IEEE Trans. Syst. Man Cybern. Part C.

[53]  Tsu-Tian Lee,et al.  The Chebyshev-polynomials-based unified model neural networks for function approximation , 1998, IEEE Trans. Syst. Man Cybern. Part B.

[54]  Peter J. Angeline,et al.  Evolutionary Optimization Versus Particle Swarm Optimization: Philosophy and Performance Differences , 1998, Evolutionary Programming.

[55]  Russell C. Eberhart,et al.  Comparison between Genetic Algorithms and Particle Swarm Optimization , 1998, Evolutionary Programming.

[56]  Russell C. Eberhart,et al.  Parameter Selection in Particle Swarm Optimization , 1998, Evolutionary Programming.

[57]  James Kennedy,et al.  The Behavior of Particles , 1998, Evolutionary Programming.

[58]  Russell C. Eberhart,et al.  A discrete binary version of the particle swarm algorithm , 1997, 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation.

[59]  Didier Dubois,et al.  Information engineering and fuzzy logic , 1996, Proceedings of IEEE 5th International Fuzzy Systems.

[60]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[61]  C. S. George Lee,et al.  Neural fuzzy systems: a neuro-fuzzy synergism to intelligent systems , 1996 .

[62]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.

[63]  Russell C. Eberhart,et al.  A new optimizer using particle swarm theory , 1995, MHS'95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science.

[64]  Bernard P. Zeigler,et al.  Designing fuzzy net controllers using genetic algorithms , 1995 .

[65]  Yoshiki Uchikawa,et al.  A study on feature extraction using a fuzzy net for off-line signature recognition , 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).

[66]  A. G. Ivakhnenko,et al.  Polynomial Theory of Complex Systems , 1971, IEEE Trans. Syst. Man Cybern..

[67]  Y. Ho,et al.  A Class of Iterative Procedures for Linear Inequalities , 1966 .

[68]  A.H. Al-Badi,et al.  Prediction of Metallic Conductor Voltage Owing to Electromagnetic Coupling Using Neuro Fuzzy Modeling , 2009, IEEE Transactions on Power Delivery.

[69]  Chin-Teng Lin,et al.  A Hybrid of Cooperative Particle Swarm Optimization and Cultural Algorithm for Neural Fuzzy Networks and Its Prediction Applications , 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[70]  Subhas Chandra Mukhopadhyay,et al.  Functional link neural network-based intelligent sensors for harsh environments , 2008 .

[71]  Julian Togelius,et al.  Geometric particle swarm optimization , 2008 .

[72]  Teodor Marcu,et al.  Dynamic functional-link neural networks genetically evolved applied to system identification , 2004, ESANN.

[73]  Vladimiro Miranda,et al.  NEW EVOLUTIONARY PARTICLE SWARM ALGORITHM (EPSO) APPLIED TO VOLTAGE/VAR CONTROL , 2002 .

[74]  Gerry Dozier,et al.  Applying the particle swarm optimizer to non-stationary environments , 2002 .

[75]  D. Nauck,et al.  Fuzzy data analysis: challenges and perspectives , 1999, FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315).

[76]  Catherine Blake,et al.  UCI Repository of machine learning databases , 1998 .

[77]  Detlef Nauck,et al.  Foundations Of Neuro-Fuzzy Systems , 1997 .