Fuzzy Rule Based Inference System for Implementation of Naval Military Mission
暂无分享,去创建一个
[1] Kemal Polat,et al. An expert system approach based on principal component analysis and adaptive neuro-fuzzy inference system to diagnosis of diabetes disease , 2007, Digit. Signal Process..
[2] Mansoor Zolghadri Jahromi,et al. A proposed method for learning rule weights in fuzzy rule-based classification systems , 2008, Fuzzy Sets Syst..
[3] Guru Nanak Dev. Fuzzy Logic Based Modified Adaptive Modulation Implementation for Performance Enhancement in OFDM Systems , 2016 .
[4] Chuen-Tsai Sun,et al. Rule-base structure identification in an adaptive-network-based fuzzy inference system , 1994, IEEE Trans. Fuzzy Syst..
[5] Seyed Jamshid Mousavi,et al. APPLICATION OF FUZZY INFERENCE SYSTEM IN THE PREDICTION OF WAVE PARAMETERS , 2005 .
[6] Shinn-Ying Ho,et al. Accurate modeling and prediction of surface roughness by computer vision in turning operations using an adaptive neuro-fuzzy inference system , 2002 .
[7] Pei-Chann Chang,et al. A TSK type fuzzy rule based system for stock price prediction , 2008, Expert Syst. Appl..
[8] Fi-John Chang,et al. Adaptive neuro-fuzzy inference system for prediction of water level in reservoir , 2006 .
[9] Jacek M. Leski,et al. A new artificial neural network based fuzzy inference system with moving consequents in if-then rules and selected applications , 1999, Fuzzy Sets Syst..
[10] Elif Derya Übeyli,et al. Adaptive neuro-fuzzy inference system for classification of EEG signals using wavelet coefficients , 2005, Journal of Neuroscience Methods.
[11] Okyay Kaynak,et al. Adaptive neuro-fuzzy inference system based autonomous flight control of unmanned air vehicles , 2007, Expert Syst. Appl..
[12] Hisao Ishibuchi,et al. Effect of rule weights in fuzzy rule-based classification systems , 2000, Ninth IEEE International Conference on Fuzzy Systems. FUZZ- IEEE 2000 (Cat. No.00CH37063).
[13] J.A. Bernard,et al. Use of a rule-based system for process control , 1987, IEEE Control Systems Magazine.
[14] Mahmud Güngör,et al. River flow estimation using adaptive neuro fuzzy inference system , 2007, Math. Comput. Simul..
[15] F. Herrera,et al. A proposal on reasoning methods in fuzzy rule-based classification systems , 1999 .
[16] Zhan-Li Sun,et al. A Neuro-Fuzzy Inference System Through Integration of Fuzzy Logic and Extreme Learning Machines , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[17] Michel Pasquier,et al. A novel self-organizing fuzzy rule-based system for modelling traffic flow behaviour , 2009, Expert Syst. Appl..
[18] Y. A. Tolias,et al. On applying spatial constraints in fuzzy image clustering using a fuzzy rule-based system , 1998, IEEE Signal Processing Letters.
[19] Lionel Jouffe,et al. Fuzzy inference system learning by reinforcement methods , 1998, IEEE Trans. Syst. Man Cybern. Part C.
[20] R. J. Kuo,et al. Fuzzy neural networks with application to sales forecasting , 1999, Fuzzy Sets Syst..
[21] Francisco Herrera,et al. Generating the knowledge base of a fuzzy rule-based system by the genetic learning of the data base , 2001, IEEE Trans. Fuzzy Syst..
[22] Nikhil R. Pal,et al. Integrated feature analysis and fuzzy rule-based system identification in a neuro-fuzzy paradigm , 2001, IEEE Trans. Syst. Man Cybern. Part B.
[23] Mukhtiar Singh,et al. Application of Adaptive Network-Based Fuzzy Inference System for Sensorless Control of PMSG-Based Wind Turbine With Nonlinear-Load-Compensation Capabilities , 2011, IEEE Transactions on Power Electronics.
[24] Hisao Ishibuchi,et al. Voting in fuzzy rule-based systems for pattern classification problems , 1999, Fuzzy Sets Syst..
[25] Kuan Yew Wong,et al. An expert fuzzy rule-based system for closed-loop supply chain performance assessment in the automotive industry , 2012, Expert Syst. Appl..
[26] Gülçin Büyüközkan,et al. A novel fuzzy multi-criteria decision framework for sustainable supplier selection with incomplete information , 2011, Comput. Ind..
[27] Francisco Herrera,et al. Solving multi-class problems with linguistic fuzzy rule based classification systems based on pairwise learning and preference relations , 2010, Fuzzy Sets Syst..
[28] Hisao Ishibuchi,et al. Adaptive fuzzy rule-based classification systems , 1996, IEEE Trans. Fuzzy Syst..
[29] Kemal Polat,et al. A hybrid medical decision making system based on principles component analysis, k-NN based weighted pre-processing and adaptive neuro-fuzzy inference system , 2006, Digit. Signal Process..
[30] Li-Chih Ying,et al. Using adaptive network based fuzzy inference system to forecast regional electricity loads , 2008 .
[31] Biswajeet Pradhan,et al. An easy-to-use MATLAB program (MamLand) for the assessment of landslide susceptibility using a Mamdani fuzzy algorithm , 2012, Comput. Geosci..
[32] Nikhil R. Pal,et al. A neuro-fuzzy scheme for simultaneous feature selection and fuzzy rule-based classification , 2004, IEEE Transactions on Neural Networks.
[33] A. Aarabi,et al. A fuzzy rule-based system for epileptic seizure detection in intracranial EEG , 2009, Clinical Neurophysiology.
[34] Nikola K. Kasabov,et al. DENFIS: dynamic evolving neural-fuzzy inference system and its application for time-series prediction , 2002, IEEE Trans. Fuzzy Syst..
[35] Eghbal G. Mansoori,et al. A weighting function for improving fuzzy classification systems performance , 2007, Fuzzy Sets Syst..
[36] Francisco Herrera,et al. A genetic learning process for the scaling factors, granularity and contexts of the fuzzy rule-based system data base , 2001, Inf. Sci..
[37] María José del Jesús,et al. A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets , 2008, Fuzzy Sets Syst..
[38] María José del Jesús,et al. Hierarchical fuzzy rule based classification systems with genetic rule selection for imbalanced data-sets , 2009, Int. J. Approx. Reason..
[39] George E. Meyer,et al. Rule-based Mamdani-type fuzzy modeling of skin permeability , 2008, Appl. Soft Comput..
[40] Paramasivan Saratchandran,et al. Sequential Adaptive Fuzzy Inference System (SAFIS) for nonlinear system identification and prediction , 2006, Fuzzy Sets Syst..
[41] Jiju Antony,et al. Optimization of multiple responses using a fuzzy-rule based inference system , 2002 .
[42] Jyh-Shing Roger Jang,et al. ANFIS: adaptive-network-based fuzzy inference system , 1993, IEEE Trans. Syst. Man Cybern..
[43] Mohammad Hossein Fazel Zarandi,et al. A type-2 fuzzy rule-based expert system model for stock price analysis , 2009, Expert Syst. Appl..
[44] Derya Avci,et al. An Adaptive Network-Based Fuzzy Inference System (ANFIS) for the prediction of stock market return: The case of the Istanbul Stock Exchange , 2010, Expert Syst. Appl..
[45] María José del Jesús,et al. On the influence of an adaptive inference system in fuzzy rule based classification systems for imbalanced data-sets , 2009, Expert Syst. Appl..
[46] Khelfi Mohamed Fayçal,et al. Sequential Adaptive Fuzzy Inference System Based Intelligent Control of Robot Manipulators , 2014 .
[47] Plamen P. Angelov,et al. On line learning fuzzy rule-based system structure from data streams , 2008, 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence).
[48] María José del Jesús,et al. Genetic feature selection in a fuzzy rule-based classification system learning process for high-dimensional problems , 2001, Inf. Sci..
[49] Emre Cevikcan,et al. Fuzzy rule-based system for the economic analysis of RFID investments , 2010, Expert Syst. Appl..
[50] Ardeshir Bahreininejad,et al. Sustainable supplier selection: A ranking model based on fuzzy inference system , 2012, Appl. Soft Comput..