Measurement and modeling in sensor networks

Proceedings - 9th RoEduNet IEEE International Conference, RoEduNet 2010

Volumn , Issue , 2010, Pages 424-429

  Bencúr, Andrej ^a   Kotzián, Jiří ^a   Pokorný, Miroslav ^a   Smid, Jan ^b  

^a VSB TECHNICAL UNIVERSITY OF OSTRAVA   (Czech Republic)

^b Gettysburg College   (United States)

Author keywords

Autonomous; Image; Model; Navigatwn; Networks; Recognition; Regression; Robots; Sensors; Variance

Indexed keywords

AUTONOMOUS; IMAGE; NAVIGATWN; NETWORKS; RECOGNITION; REGRESSION; VARIANCE;

OPTIMIZATION;

SENSORS;

EID: 77957566741     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. J.Smid, P.Volf, Variance Prediction for Sensor and Dialong Network Applications. ICOMP'09/PSMP6, Editors: H.Arabnia, V.C1incy, J.Lu, J.Smid, Las Vegas 2009.
2. Simon, D., Optimal State Estimation, John Wiley, 2006.
3. Sorenson, H., Parameter Estimation, Principles and Problems, Marcel Dekker 1980.
4. K.J. Astrom, B.Wittenmark, Adaptive Control. Addison-Wesley 1989.
5. J. Anděl, Matematicka statistika. SNTL/ALFA 1985 (in Czech).
6. Ch.Bishop, Neural Networks for Pattern Recognition, Cambridge University Press, 1996.
7. J.Smid, M.Obitko, A.Bencur: Concept and Sensor Network Approach to Computing: The Lexicon Acquisition Component, WRAC2005, Springer LNCS/LNAI 3825.
8. T.Kurt, Hacking Roomba, Wiley Publishing, 2009.
9. Horak B, Koziorek I, Srovnal V: Application of multi-agents in control of hydrogen powered car to optimize fuel consumption, 8th International Conference on Computational. Science, June 23-25, 2008 Cracow, Poland, ISBN: 978-3-540-69388-8.
10. T. W. Anderson and Taylor J. Strong Consistency of Least Squares Estimates in Normal Linear Regression. The Annals of Statistics. 1976, Vol. 4, No. 4, 788-790.
11. T. W. Anderson and Taylor J. Strong Consistency of Least Squares Estimates In Dynamic Models. The Annals of Statistics. 1979, Vol.7, No.3, 484-489.
12. G. Lindfield and J. Penny. Numerical Methods Using MATLAB. EllisHorwood 1995.J.
13. Adam GK, Garani G, Srovnal V, Koziorek J: Microprocessor-based neural network controller of a stepper motor for a manipulator arm, 9th WSEAS International Conference on Neural Networks (NN 08), May 02-04, 2008 Tech Univ Sofia, Sofia, Bulgaria, ISBN:978-960-6766-56-5.
14. Holland. Adaptation In Natural And Artificial Systems. MIT Press 1994.
15. William J.Gordon: Free-Form Surface Interpolation Through Curve Networks. General Motors Research Laboratories. GMR-921, September 30, 1969.
16. M. Mitchell. An Introduction To Genetic Algorithms. MIT Press 1996.
17. P. Zelasko: Use of knowledge-based principles in genetic algorithms. TU Ostrava 2006, dissertation thesis.