New results in modelling derived from Bayesian filtering

Knowledge-Based Systems

Volumn 23, Issue 2, 2010, Pages 182-194

  Pozna, Claudiu ^a   Precup, Radu Emil ^b   Tar, József K ^c   Škrjanc, Igor ^d   Preitl, Stefan ^b  

^a TRANSILVANIA UNIVERSITY OF BRASOV   (Romania)

^b POLITEHNICA UNIVERSITY OF TIMISOARA   (Romania)

^c ÓBUDA UNIVERSITY   (Hungary)

^d UNIVERSITY OF LJUBLJANA   (Slovenia)

Author keywords

Knowledge; Model; Modelling algorithm; Plausible reasoning; Simulation

Indexed keywords

BAYESIAN; BAYESIAN FILTERING; CLASSICAL SYSTEMS; COMPUTATIONAL TIME; KNOWLEDGE; KNOWLEDGE MODEL; NEW RESULTS; PENDULUM SYSTEM; THEORETICAL RESULT;

BAYESIAN NETWORKS; PENDULUMS;

MATHEMATICAL MODELS;

EID: 75849119665     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2009.11.015     Document Type: Article

References (56)

1. Alessandri A., Cervellera C., and Sanguineti M. Design of asymptotic estimators: an approach based on neural networks and nonlinear programming. IEEE Transactions on Neural Networks 18 1 (2007) 86-96
2. Angelov P., and Zhou X. Evolving fuzzy-rule-based classifiers from data streams. IEEE Transactions on Fuzzy Systems 16 6 (2008) 1462-1475
3. Barnard G.A. Studies in the history of probability and statistics: IX. Thomas Bayes's essay towards solving a problem in the doctrine of chances. Biometrika 45 (1958) 296-315
4. Bayes T. An essay towards solving a problem in the doctrine of chances. Philosophical Transactions of the Royal Society of London 53 (1763) 370-418
5. Behbahani S., and de Silva C.W. Mechatronic design quotient as the basis of a new multicriteria mechatronic design methodology. IEEE/ASME Transactions on Mechatronics 12 2 (2007) 227-232
6. Blažič S., Matko D., and Geiger G. Simple model of a multi-batch driven pipeline. Mathematics and Computers in Simulation 64 6 (2004) 617-630
7. Chang P.-C., Liu C.-H., and Fan C.-Y. Data clustering and fuzzy neural network for sales forecasting: a case study in printed circuit board industry. Knowledge-Based Systems 22 5 (2009) 344-355
8. Chen Y.-L., and Weng C.-H. Mining fuzzy association rules from questionnaire data. Knowledge-Based Systems 22 1 (2009) 46-56
9. Chu B.-H., Tsai M.-S., and Ho C.-S. Toward a hybrid data mining model for customer retention. Knowledge-Based Systems 20 8 (2007) 703-718
10. Chung P.W.H., Cheung L.Y.C., and Machin C.H.C. Compliance flow - managing the compliance of dynamic and complex processes. Knowledge-Based Systems 21 4 (2008) 332-354
11. Coué C., Pradalier C., Laugier C., Fraichard T., and Bessière P. Bayesian occupancy filtering for multitarget tracking: an automotive application. International Journal of Robotics Research 25 1 (2006) 19-30
12. P. Dangauthier, P. Bessière, A. Spalanzani, Auto-supervised learning in the Bayesian programming framework, in: Proceedings of the 2005 IEEE International Conference on Robotics and Automation, Barcelona, Spain, 2005, pp. 3066-3071.
13. Duda R.O., Gaschnig J., and Hart P.E. Model design in the prospector system for mineral exploration. In: Michie D. (Ed). Expert Systems in the Micro Electronic Age (1979), Edinburgh University Press, Edinburgh 153-167
14. ElAlami M.E. A filter model for feature subset selection based on genetic algorithm. Knowledge-Based Systems 22 5 (2009) 356-362
15. Friedman N., and Halpern J.Y. Modeling beliefs in dynamic systems. Part I: foundations. Artificial Intelligence 95 2 (1997) 257-316
16. Friedman N., and Halpern J.Y. Modeling beliefs in dynamic systems. Part II: revision and update. Journal of AI Research 10 (1999) 117-167
17. Friedman N., and Halpern J.Y. Plausibility measures and default reasoning. Journal of the ACM 48 4 (2001) 648-685
18. Grinstead C.M., and Snell J.L. Introduction to Probability (1997), American Mathematical Society, Providence, RI
19. Heit E. Properties of inductive reasoning. Psychonomic Bulletin & Review 7 4 (2000) 569-592
20. Herzallah R., and Lowe D. A mixture density network approach to modelling and exploiting uncertainty in nonlinear control problems. Engineering Applications of Artificial Intelligence 17 2 (2004) 145-158
21. Hladek D., Vaščák J., and Sinčák P. Multi-robot control system for pursuit-evasion problem. Journal of Electrical Engineering 60 3 (2009) 143-148
22. A.H. Hong, P.W.H. Chung, J. McDonald, J. Madden, Automated cause and effect analysis for process plants, in: Proceedings of 9th International Conference on Chemical and Process Engineering, Rome, Italy, 2009, pp.1281-1287.
23. Horváth L., and Rudas I.J. Modeling and Problem Solving Methods for Engineers (2004), Academic Press, Burlington, MA
24. Hu Y.-C. Incorporating a non-additive decision making method into multi-layer neural networks and its application to financial distress analysis. Knowledge-Based Systems 21 5 (2008) 383-390
25. Huang M.-J., Tsou Y.-L., and Lee S.-C. Integrating fuzzy data mining and fuzzy artificial neural networks for discovering implicit knowledge. Knowledge-Based Systems 19 6 (2006) 396-403
26. Hwang K.-A., and Yang C.-H. Assessment of affective state in distance learning based on image detection by using fuzzy fusion. Knowledge-Based Systems 22 4 (2009) 256-260
27. Jánossy L. Theory and Practice of the Evaluation of Measurements (1965), Clarendon Press, Oxford
28. Jaynes E.T., and Bretthorst G.L. Probability Theory: The Logic of Science (2003), Cambridge University Press, Cambridge
29. Z.C. Johanyák, A. Ádám-Majo, Fuzzy modeling of the relation between components of thermoplastic composites and their mechanical properties, in: Proceedings of 5th International Symposium on Applied Computational Intelligence and Informatics, Timisoara, Romania, 2009, pp. 481-486.
30. Keles A., Kolcak M., and Keles A. The adaptive neuro-fuzzy model for forecasting the domestic debt. Knowledge-Based Systems 21 8 (2008) 951-957
31. Klančar G., Matko D., and Blažič S. Wheeled mobile robots control in a linear platoon. Journal of Intelligent and Robotic Systems 54 5 (2009) 709-731
32. Kording K., and Wolpert D. Bayesian integration in sensorimotor learning. Nature 427 6971 (2004) 244-247
33. Kultur Y., Turhan B., and Bener A. Ensemble of neural networks with associative memory (ENNA) for estimating software development costs. Knowledge-Based Systems 22 6 (2009) 395-402
34. Leitch R.R., Shen Q., Coghill G.M., and Chantler M.J. Choosing the right model. IEE Proceedings - Control Theory and Applications 146 5 (1999) 435-449
35. Manski C.E. Partial Identification of Probability Distributions (2003), Springer-Verlag, New York
36. Marsolo K., Twa M., Bullimore M.A., and Parthasarathy S. Spatial modeling and classification of corneal shape. IEEE Transactions on Information Technology in Biomedicine 11 2 (2007) 203-212
37. Mati{dotless}́a F., Jiménez A., Al-Hadithi B.M., Rodri{dotless}́guez-Losada D., and Galán R. The fuzzy Kalman filter: state estimation using possibilistic techniques. Fuzzy Sets and Systems 157 16 (2006) 2145-2170
38. Nicosia G., Rinaudo S., and Sciacca E. An evolutionary algorithm-based approach to robust analog circuit design using constrained multi-objective optimization. Knowledge-Based Systems 21 3 (2008) 175-183
39. Oh S.-K., Pedrycz W., and Park H.-S. Rule-based multi-FNN identification with the aid of evolutionary fuzzy granulation. Knowledge-Based Systems 17 1 (2004) 1-13
40. Pearl J. Causality: Models, Reasoning, and Inference (2000), Cambridge University Press, Cambridge
41. C. Pradalier, F. Colas, P. Bessière, Expressing Bayesian fusion as a product of distributions: applications in robotics, in: Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems, Las Vegas, NV, 2003, pp. 1851-1856.
42. Precup R.-E., and Preitl S. Optimisation criteria in development of fuzzy controllers with dynamics. Engineering Applications of Artificial Intelligence 17 6 (2004) 661-674
43. Precup R.-E., and Preitl S. PI-fuzzy controllers for integral plants to ensure robust stability. Information Sciences 177 20 (2007) 4410-4429
44. Precup R.-E., Preitl S., Tar J.K., Tomescu M.L., Takács M., Korondi P., and Baranyi P. Fuzzy control system performance enhancement by iterative learning control. IEEE Transactions on Industrial Electronics 55 9 (2008) 3461-3475
45. Puerta A., and Eisenstein J. Towards a general computational framework for model-based interface development systems. Knowledge-Based Systems 12 8 (1999) 433-442
46. Sala A., Guerra T.M., and Babuška R. Perspectives of fuzzy systems and control. Fuzzy Sets and Systems 156 3 (2005) 432-444
47. Shepard R.N. Towards a universal law of generalization for psychological science. Science 237 (1987) 1317-1323
48. Tan L., and Taniar D. Adaptive estimated maximum-entropy distribution model. Information Sciences 177 15 (2007) 3110-3128
49. Tsui E., Garner B.J., and Staab S. The role of artificial intelligence in knowledge management. Knowledge-Based Systems 13 5 (2000) 235-239
50. Vani{dotless}́ček J., Vrana I., and Aly S. Fuzzy aggregation and averaging for group decision making: a generalization and survey. Knowledge-Based Systems 22 1 (2009) 79-84
51. Wen W., Chen Y.H., and Pao H.H. A mobile knowledge management decision support system for automatically conducting an electronic business. Knowledge-Based Systems 21 7 (2008) 540-550
52. Yu B., Xu Z., and Li C. Latent semantic analysis for text categorization using neural network. Knowledge-Based Systems 21 8 (2008) 900-904
53. Yudkowsky E. Creating Friendly AI (2001), Singularity Institute for Artificial Intelligence, Santa Clara, CA
54. Zellner A. Generalizing the standard product rule of probability theory and Bayes's theorem. Journal of Econometrics 138 1 (2007) 14-23
55. Zhang G., Lu J., and Dillon T. Decentralized multi-objective bilevel decision making with fuzzy demands. Knowledge-Based Systems 20 5 (2007) 495-507
56. Zhu X.-D., and Huang Z.-Q. Conceptual modeling rules extracting for data streams. Knowledge-Based Systems 21 8 (2008) 934-940