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Angelov, P, R Ramezani, X Zhou (2008a) Autonomous Novelty Detection and Object Tracking in Video Streams Using Evolving Clustering and Takagi-Sugeno Type Neuro-Fuzzy System World Congress on Computational Intelligence, Hong Kong, June 1 6, 2008, pp 1457 1464, ISBN 978-1-4244-1821-3/08 Angelov, P, A Kordon, X Zhou (2008b) Evolving Fuzzy Inferential Sensors for Process Industry Proc 3rd International Workshop on Genetic and Evolving Fuzzy Systems, Witten-Bomerholz, Germany, March 4 7, 2008, IEEE Press, pp 41 46, ISBN 978-1-4244-1613-4 Angelov, P, C D Bocaniala, C Xydeas, C Pattchet, D Ansell, M Everett, G Leng (2008c) A Passive Approach to Autonomous Collision Detection and Avoidance in Uninhabited Aerial Systems Proc 2008 EUROSIM, Emanuel College, Cambridge, UK, April 1 3, 2008, pp 64 69 Astrom, K J, B Wittenmark (1989) Adaptive Control Reading, MA: Addison-Wesley Asuncion, A, D Newman (2007) UCI Machine Learning Repository , http://mlearnicsuci edu/MLRepository.



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html Chiu, S (1994) Fuzzy Model Identi cation Based on Cluster Estimation, Journal of Intelligent and Fuzzy Systems, Vol 2 (3), pp 267 278 Domingos, P, G Hulten (2001) Catching Up with the Data: Research Issues in Mining Data Streams Workshop on Research Issues in Data Mining and Knowledge Discovery, Santa Barbara, CA, 2001 Duda, R O, P E Hart, D G Stork (2000) Pattern Classi cation Second Edition Chichester, West Sussex, England: Wiley-Interscience EC (2007) NMP-2008-32-2 Self-Learning Production Systems Work Programme on Nanosciences, Nanotechnologies, Materials and New Production Technologies, available online at ftp://ardhujiacil/pub/251/NMP_Fiche_small__2008_02pdf Elgammal, A, R Suraiswami, D Harwood, and L Davis (2002) Background and Foreground Modeling Using Non-parametric Kernel Density Estimation for Visual Surveillance KDE, Proc 2002 IEEE, Vol 90, No 7, pp 1151 1163 Fortuna, L, S Graziani, A Rizzo, M G Xibilia (2007).





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Soft Sensor for Monitoring and Control of Industrial Processes In Advances in Industrial Control Series ( M J Grimble, MA Johnson, eds) Berlin, Springer-Verlag Hastie, T, R Tibshirani, and J Friedman (2001) The Elements of Statistical Learning: Data Mining, Inference and Prediction Heidelberg: Springer-Verlag Jang, J SR (1993) ANFIS: Adaptive Network-Based Fuzzy Inference Systems IEEE Trans on SMC, Vol 23, No 3, pp 665 685 Kalman, R (1960) A New Approach to Linear Filtering and Prediction Problems Trans of the ASME Journal of Basic Engineering, Vol 82, pp 35 45 Kasabov, N, Q Song (2002) DENFIS: Dynamic Evolving Neural-Fuzzy Inference System and Its Application for Time-Series Prediction IEEE Trans on Fuzzy Systems, Vol 10, No 2, pp 144 154 Kordon, A, G Smits, A Kalos, and E Jordaan (2003) Robust Soft Sensor Development Using Genetic Programming In Nature-Inspired Methods in Chemometrics (R Leardi, ed.

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) Amsterdam: Elsevier, pp 69 108 Li, W, H H Yue, S Valle-Cervantes, and S J Qin (2000) Recursive PCA for Adaptive Process Monitoring Journal of Process Control, Vol 10 (5), pp 471 486 Ljung, L (1988) System Identi cation, Theory for the User Englewood Cliffs, NJ: Prentice-Hall..

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