Items · Publications of University of Banja Luka

Realizacija upravljačkog okruženja za MPS PA stanicu u Matlab RTWT okruženju (2016-03)

Marko Lalović, Srđan Lale, Igor Krčmar, Realizacija upravljačkog okruženja za MPS PA stanicu u Matlab RTWT okruženju, Zbornik radova 15. Međunarodnog simpozijuma INFOTEH-JAHORINA, tom 15, pp. 811 - 815, Mar, 2016

Adaptive Internal Model-based Neural Controllers with the SGD learning algorithm (2016-06)

Milorad Bozic, Jasmin Igic, Igor Krcmar, Adaptive Internal Model-based Neural Controllers with the SGD learning algorithm, Proceedings of 3rd International Conference on Electrical, Electronic and Computing Engineering IcETRAN 2016, Zlatibor, Serbia, ISBN 978-86-7466-618-0, pp. AUI2.1.1 - AUI2.1.6, Jun, 2016

An Adaptive Internal Model-based Neural Controller with Embedded Integral Action (2017-06)

Milorad Bozic, Petar Maric, Igor Krcmar, An Adaptive Internal Model-based Neural Controller with Embedded Integral Action, Proceedings of 4th International Conference on Electrical, Electronics and Computing Engineering, IcETRAN 2017, Kladovo, Serbia, ISBN 978-86-7466-692-0, pp. AUI2.3.1 - AUI2.3.6, Jun, 2017

Performance analysis of the speed servomechanism with the adaptive PI controller (2020-11)

Igor Krčmar, Petar Matić, Darko Marčetić, Petar Marić, Performance analysis of the speed servomechanism with the adaptive PI controller, Proceedings of the 2020 International Symposium on Industrial Electronics and Applications (INDEL), pp. 1 - 6, Nov, 2020

Modelling of a sequential system (2021-03)

Marko Glavaš, Igor Krčmar, Petar Marić, Modelling of a sequential system, Proceedings of the 20th International Symposium INFOTEH-JAHORINA (INFOTEH), pp. 1 - 6, Mar, 2021

Collaborative PI Controller For Digital Speed Servomechanism (2023-03)

B. Derajić, I. Krčmar, P. Marić, P. Matić, D. Marčetić, Collaborative PI Controller For Digital Speed Servomechanism, 2023 22nd International Symposium INFOTEH-JAHORINA (INFOTEH), Mar, 2023

Stability of NNGD algorithm for nonlinear system identification (2001-02)

D.P. Mandic, I.R. Krcmar, Stability of NNGD algorithm for nonlinear system identification, ELECTRONICS LETTERS, Vol. 37, No. 3, pp. 200 - 202, Feb, 2001

Global asymptotic stability for RNNs with a bipolar activation function (2000-09)

I. R. Krcmar, M. M. Bozic, D. P. Mandic, Global asymptotic stability for RNNs with a bipolar activation function, Proceedings of the 5th Seminar on Neural Network Applications in Electrical Engineering, pp. 33 - 36, Sep, 2000

On training with slope adaptation for feedforward NNs (2000-09)

D.P. Mandic, I.R. Krcmar, On training with slope adaptation for feedforward NNs, Proceedings of the 5th Seminar on Neural Network Applications in Electrical Engineering, NEUREL 2000, pp. 42 - 45, Sep, 2000

A Data-Reusing Stochastic Approximation Algorithm for Neural Adaptive Filters (2001-04)

D.P. Mandic, I.R. Krcmar, W. Sherliker, G. Smith, A Data-Reusing Stochastic Approximation Algorithm for Neural Adaptive Filters, Proceedings of the International Conference on Artificial Neural Networks and Genetic Algorithms (ICANNGA-2001), pp. 422 - 425, Apr, 2001

On Nonlinear Processing of Air Pollution Data (2001-04)

R. Foxall, I. Krcmar, D.P. Mandic, G. Cawley, S. Dorling, On Nonlinear Processing of Air Pollution Data, Proceedings of the International Conference on Artificial Neural Networks and Genetic Algorithms (ICANNGA-2001), pp. 477 - 480, Apr, 2001

On Predictability of Atmospheric Pollution Time Series (2001-04)

I.R. Krcmar, D.P. Mandic, R.J. Foxall, On Predictability of Atmospheric Pollution Time Series, Proceedings of the International Conference on Artificial Neural Networks and Genetic Algorithms (ICANNGA-2001), pp. 481 - 484, Apr, 2001

Nonlinear modelling of air pollution time series (2001-05)

R. Foxall, I. Krcmar, G. Cawley, S. Dorling, D.P. Mandic, Nonlinear modelling of air pollution time series, Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, 2001 (ICASSP-2001), pp. 3505 - 3508, May, 2001

Perlustration of error surfaces for nonlinear stochastic gradient descent algorithms (2002-09)

A.I. Hanna, I.R. Krcmar, D.P. Mandic, Perlustration of error surfaces for nonlinear stochastic gradient descent algorithms, Proceedings of the 6th Seminar on Neural Network Applications in Electrical Engineering (NEUREL 2002), pp. 11 - 16, Sep, 2002

Controlability of LMS Algorithm for System Identification (2009-11)

I. Krcmar, P. Maric, M. Bozic, Controlability of LMS Algorithm for System Identification, Proceedings of International Scientific Conference UNITECH '09, pp. 628 - 630, Nov, 2009

Artificial neural network for complex-valued load prediction (2012-03)

I. Krcmar, S. Krunic, Artificial neural network for complex-valued load prediction, Energy, economy, ecology – ENERGY 2012, no. 3-4, pp. 127 - 130, Mar, 2012

Comparative Analysis of Artificial Neural Network Models for Complex Valued Load Prediction (2012-09)

S. Krunić, I.R. Krcmar, Comparative Analysis of Artificial Neural Network Models for Complex Valued Load Prediction, Proceedings of the 8th Conference on Electricity Distribution in Serbia, with regional participation, pp. R-6.03 1 - R-6.03 8, Sep, 2012

Novi pristup povećanju energetske efikasnosti sistema napajanja (2022)

Diskretni estimator fluksa rotora asinhronog motora u pogonima visokih brzina (2012-03)

P. Matić, I. Krčmar, D. Marčetić, Diskretni estimator fluksa rotora asinhronog motora u pogonima visokih brzina, Zbornik radova simpozijuma INFOTEH, Mar, 2012

Uticaj varijacije parametara asinhronog motora na diskretne estimatore fluksa rotora u pogonima visokih brzina (2013-03)

Petar Matić, Igor Krčmar, Darko Marčetić, Marko Gecić, Uticaj varijacije parametara asinhronog motora na diskretne estimatore fluksa rotora u pogonima visokih brzina, Proceedings of the 12th International Symposium INFOTEH-JAHORINA, Vol. 12, pp. 1087 - 1092, Mar, 2013