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Az Intelligens Rendszerek csoport kiemelt publikációi

A teljes publikációs listák a munkatársaink honlapjain olvashatók.

Könyvek

Szakkönyv-fordítások

S. Russel, P. Norvig, "Artificial Intelligence. A Modern Approach," Prentice Hall, 1995 (Hungarian translation: Mesterséges intelligencia korszerű megközelítésben, PANEM-Prentice Hall, 1999)

P. Flach: "Simply Logical, Intelligent Reasoning by Example" John Wiley, 1994. (Hungarian translation Logikai programozás Az intelligens következtetés példákon keresztül). PANEM-John Wiley, 2001,

S. Russel, P. Norvig, "Artificial Intelligence. A Modern Approach, Second edition" Prentice Hall, 2003 (Hungarian translation: Mesterséges intelligencia korszerű megközelítésben, PANEM-Prentice Hall, 2005)

Szakkönyvek

Álmos A., Győri S., Horváth G., Várkonyiné-Kóczy A. (Szerkesztette: Várkonyiné-Kóczy Annamária) Genetikus algoritmusok, Typotex, Budapest, 2002.

Altrichter M., Horváth G., Pataki B., Strausz Gy., Takács G., Valyon J: (Szerkesztette Horváth, G.) "Neurális hálózatok", Panem, Budapest, 2007.

Könyvfejezetek

G. Horváth: Neural Networks in Systems Identification, (Chapter 4. in: S. Ablameyko, L. Goras, M. Gori and V. Piuri (Eds.) Neural Networks in Measurement Systems) NATO ASI, IOS Press, pp. 43-78. 2002.

G. Horváth: Neural Networks in Measurement Systems, (Chapter 18. in: Suykens J.A.K., Horváth G., Basu S., Micchelli C., Vandewalle J., (eds.), Advances in Learning Theory: Methods, Models and Applications), NATO-ASI Series in Computer and Systems Sciences, IOS Press (Amsterdam, The Netherlands), 2003. pp. 375-402.

Fontosabb folyóiratcikkek

Szabó, T., Horváth, G.: "Finite Word Length Computational Effects of the Principal Component Analysis Networks", IEEE Trans. on Instrumentation and Measurement, 1998. Vol. 47. No. 5. pp. 1218-1222.

Kövesi, B., Saoudi, S., Boucher, J.M., Horváth, G. "Real time vector quantization of LSP parameters" Speech Communications, Vol 29, No 1: pp. 39-47 Sep. 1999.

Szabó, T., Horváth, G.: "CMAC and its Extensions for Efficient System Modelling", International Journal of Applied Mathematics and Computer Science, 1999. Vol. 9. No. 3. pp. 571-598.

Pataki, B., Horváth, G., Strausz, Gy., Talata, Zs. "Inverse Neural Modeling of a Linz-Donawitz Steel Converter" e & i Elektrotechnik und Informationstechnik, Vol. 117. No. 1. 2000.

Valyon, J., and Horvath G. "A Weighted Generalized LS-SVM" Periodica Polytechnica, Ser. El. Eng. Vol. 47. No. 3-4. pp. 229-251.2003

Berényi, P. Lampaert, V. Horváth, G. Swevers, "Nonlocal hysteresis function identification and compensation with neural networks" Periodica Polytechnica, Ser. El. Eng. Vol. 47. No. 3-4. pp. 253-268. 2003

J. Valyon and G. Horváth, "A Sparse Least Squares Support Vector Machine Classifier", Periodica Polytechnica, Ser. El. Eng., 2004, pp. 17-23.

Szabó, T., Horváth, G.: "An Efficient Hardware Implementation of Feed-Forward Neural Networks", Applied Intelligence, Vol. 21. pp. 143-158. 2004. Electronic (draft) version. Abstract

Sragner, L., Horváth, G.: "Improved Model Order Estimation for Nonlinear Dynamic Systems" International Scientific Journal of Computing, Vol. 2. No. 2. pp. 93-100. 2003.

Valyon J, Horváth G. "A Weighted Generalized LS-SVM" Periodica Polytechnica Electrical Eng. 47: (3-4) 229-251 (2003)

J Valyon, G Horváth: "A Sparse Least Squares Support Vector Machine Classifier" Periodica Polytechnica Electrical Eng. 48: 17-23 (2004)

Berényi, P. Horváth, G., Lampaert, V. and Swevers, J. "Nonlocal hysteresis function identification and compensation with neural networks" IEEE Trans. on Instrumentation and Measurements, Vol. 54. No.6. pp. 2227- 2238. 2005

G Horváth Kernel Cmac: an Efficient Neural Network for Classification and Regression Acta Polytechnica Hungarica, Vol. 3. No.1 pp. 5-20. 2006

Horváth, G. and Szabó, T.: "Kernel CMAC with Improved Capability" IEEE Trans. on Systems Man and Cybernetics, Part B. Vol. 37. No. 1 pp. 124-138. 2007.

J Valyon, Gábor Horváth Extended Least Squares LS-SVM INT J COMPUT INTELLIGENCE &: & (2008) Megjelenés alatt

Dobrowiecki T.P. , J. Schoukens, "Measuring linear approximation to weakly nonlinear MIMO systems", Automatica 43(2007), pp. 1731-1751

Dobrowiecki, T.P. and J. Schoukens, "Linear Approximation of Weakly Nonlinear MIMO Systems," IEEE Trans of Instrumentation and Measurement, Vol 56, Nr 3, June 2007, pp. 887-894

Dobrowiecki T.P., J. Schoukens, "Optimized Excitation Signals for MIMO Frequency Response Function Measurements", IEEE Trans of Instrumentation and Measurement, Vol 55, Nr 6, Dec 2006, pp.1-8

Schoukens, R. Pintelon , T. Dobrowiecki, and Y. Rolain, "Identification of linear systems with nonlinear distortions", Automatica 41, 2005, pp. 491-504

Schoukens J., T. Dobrowiecki, and R. Pintelon, "Estimation of the risk for an unstable behavior of feedback systems in the presence of nonlinear distortions", Automatica 40, 2004, pp. 1275-1279