POP-TRAFFIC: a novel fuzzy neural approach to road traffic analysis and prediction
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[1] A. Roli. Artificial Neural Networks , 2012, Lecture Notes in Computer Science.
[2] Saman K. Halgamuge,et al. Neural networks in designing fuzzy systems for real world applications , 1994 .
[3] Kai Keng Ang,et al. RSPOP: Rough SetBased Pseudo Outer-Product Fuzzy Rule Identification Algorithm , 2005, Neural Computation.
[4] Haidong Liu,et al. The Forecast of Dynamic Traffic Flow , 2000 .
[5] Hiok Chai Quek,et al. Falcon: neural fuzzy control and decision systems using FKP and PFKP clustering algorithms , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[6] Ramon López de Mántaras,et al. Approximate Reasoning Models , 1990 .
[7] Bin Ran,et al. Fuzzy-Neural Network Traffic Prediction Framework with Wavelet Decomposition , 2003 .
[8] P. J. Werbos,et al. Backpropagation: past and future , 1988, IEEE 1988 International Conference on Neural Networks.
[9] Paul J. Werbos,et al. Neurocontrol and fuzzy logic: Connections and designs , 1992, Int. J. Approx. Reason..
[10] Hiok Chai Quek,et al. GenSoFNN: a generic self-organizing fuzzy neural network , 2002, IEEE Trans. Neural Networks.
[11] Michel Pasquier,et al. Fuzzylot: a novel self-organising fuzzy-neural rule-based pilot system for automated vehicles , 2001, Neural Networks.
[12] C. von Altrock,et al. A neuro-fuzzy adaptive control strategy for refuse incineration plants , 1994 .
[13] Ruowei Zhou,et al. The POP learning algorithms: reducing work in identifying fuzzy rules , 2001, Neural Networks.
[14] Hisao Ishibuchi,et al. Interpolation of fuzzy if-then rules by neural networks , 1994, Int. J. Approx. Reason..
[15] Sherif Ishak,et al. Fuzzy ART Neural Network Model for Automated Detection of Freeway Incidents , 1998 .
[16] Jan-Ming Ho,et al. Travel time prediction with support vector regression , 2003, Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems.
[17] Isao Hayashi,et al. Construction of fuzzy inference rules by NDF and NDFL , 1992, Int. J. Approx. Reason..
[18] Teuvo Kohonen,et al. Self-Organization and Associative Memory, Second Edition , 1988, Springer Series in Information Sciences.
[19] Yasuhiko Dote,et al. Neuro fuzzy transmission control for automobile with variable loads , 1995, IEEE Trans. Control. Syst. Technol..
[20] Mark Dougherty,et al. THE USE OF NEURAL NETWORKS TO RECOGNISE AND PREDICT TRAFFIC CONGESTION , 1993 .
[21] R. Stephenson. A and V , 1962, The British journal of ophthalmology.
[22] Chiman Kwan,et al. Real-time adaptive on-line traffic incident detection , 1996, Proceedings of the 1996 IEEE International Symposium on Intelligent Control.
[23] Yoshiki Uchikawa,et al. On fuzzy modeling using fuzzy neural networks with the back-propagation algorithm , 1992, IEEE Trans. Neural Networks.
[24] Minho Lee,et al. A new neuro-fuzzy identification model of nonlinear dynamic systems , 1994, Int. J. Approx. Reason..
[25] Kai Keng Ang,et al. Improved MCMAC with momentum, neighborhood, and averaged trapezoidal output , 2000, IEEE Trans. Syst. Man Cybern. Part B.
[26] Hojjat Adeli,et al. FUZZY-WAVELET RBFNN MODEL FOR FREEWAY INCIDENT DETECTION , 2000 .
[27] James M. Keller,et al. Neural network implementation of fuzzy logic , 1992 .
[28] Jyh-Shing Roger Jang,et al. ANFIS: adaptive-network-based fuzzy inference system , 1993, IEEE Trans. Syst. Man Cybern..
[29] Chin-Teng Lin,et al. Neural-Network-Based Fuzzy Logic Control and Decision System , 1991, IEEE Trans. Computers.
[30] Markos Papageorgiou,et al. Traffic flow modeling of large-scale motorwaynetworks using the macroscopic modeling tool METANET , 2002, IEEE Trans. Intell. Transp. Syst..
[31] Ronald R. Yager,et al. Modeling and formulating fuzzy knowledge bases using neural networks , 1994, Neural Networks.
[32] Hiok Chai Quek,et al. Pseudo-outer product based fuzzy neural network fingerprint verification system , 2001, Neural Networks.
[33] Ruowei Zhou,et al. POPFNN-AAR(S): a pseudo outer-product based fuzzy neural network , 1999, IEEE Trans. Syst. Man Cybern. Part B.
[34] Kai Keng Ang,et al. MCMAC-CVT: a novel on-line associative memory based CVT transmission control system , 2002, Neural Networks.
[35] Hiok Chai Quek,et al. GenSo-FDSS: a neural-fuzzy decision support system for pediatric ALL cancer subtype identification using gene expression data , 2005, Artif. Intell. Medicine.
[36] Ruowei Zhou,et al. Antiforgery: a novel pseudo-outer product based fuzzy neural network driven signature verification system , 2002, Pattern Recognit. Lett..
[37] Ruowei Zhou,et al. POPFNN: A Pseudo Outer-product Based Fuzzy Neural Network , 1996, Neural Networks.
[38] Jaching Chou,et al. PAVEMENT DISTRESS EVALUATION USING FUZZY LOGIC AND MOMENT INVARIANTS , 1995 .
[39] Dan W. Patterson,et al. Artificial Neural Networks: Theory and Applications , 1998 .
[40] Geoffrey E. Hinton,et al. Learning internal representations by error propagation , 1986 .
[41] Shing Chung Josh Wong,et al. Urban traffic flow prediction using a fuzzy-neural approach , 2002 .
[42] Corinne Ledoux,et al. An urban traffic flow model integrating neural networks , 1997 .
[43] Bart Kosko,et al. Unsupervised learning in noise , 1990, International 1989 Joint Conference on Neural Networks.
[44] Spyros G. Tzafestas,et al. Neural fuzzy control systems with structure and parameter learning , 1996, J. Intell. Robotic Syst..