Analog circuit topology synthesis by means of evolutionary computation Ž Rojec, Á Bűrmen, I Fajfar Engineering Applications of Artificial Intelligence 80, 48-65, 2019 | 55 | 2019 |
Evolving a Nelder–Mead algorithm for optimization with genetic programming I Fajfar, J Puhan, Á Bűrmen Evolutionary computation 25 (3), 351-373, 2017 | 41 | 2017 |
The Nelder–Mead simplex algorithm with perturbed centroid for high-dimensional function optimization I Fajfar, Á Bűrmen, J Puhan Optimization Letters 13, 1011-1025, 2019 | 35 | 2019 |
Solving CNLS problems using Levenberg-Marquardt algorithm: A new fitting strategy combining limits and a symbolic Jacobian matrix M Žic, V Subotić, S Pereverzyev, I Fajfar Journal of Electroanalytical Chemistry 866, 114171, 2020 | 34 | 2020 |
Automated robust design and optimization of integrated circuits by means of penalty functions Á Bűrmen, D Strle, F Bratkovič, J Puhan, I Fajfar, T Tuma AEU-International journal of electronics and communications 57 (1), 47-56, 2003 | 32 | 2003 |
A rigorous design method for binary cellular neural networks I Fajfar, F Bratkovič, T Tuma, J Puhan International Journal of Circuit Theory and Applications 26 (4), 365-373, 1998 | 30 | 1998 |
Design of monotonic binary-valued cellular neural networks I Fajfar, F Bratkovic 1996 Fourth IEEE International Workshop on Cellular Neural Networks and …, 1996 | 25 | 1996 |
Optimisation methods in SPICE: a comparison J Puhan, T Tuma, I Fajfar Proceedings of European Conference on Circuit Theory and Design. ECCTD’99 …, 1999 | 23 | 1999 |
Low-cost, high-performance CNN simulator implemented in FPGA M Perko, I Fajfar, T Tuma, J Puhan Cellular Neural Networks and Their Applications, 2000.(CNNA 2000 …, 2000 | 20 | 2000 |
Extraction of distribution function of relaxation times by using Levenberg-Marquardt algorithm: A new approach to apply a discretization error free Jacobian matrix M Žic, L Vlašić, V Subotić, S Pereverzyev, I Fajfar, M Kunaver Journal of The Electrochemical Society 169 (3), 030508, 2022 | 16 | 2022 |
Model parameter identification with SPICE OPUS: A comparison of direct search and elitistic genetic algorithm A Bürmen, J Puhan, T Tuma, I Fajfar, A Nussdorfer Proceedings of the 15th European Conference on Circuit Theory and Design …, 2001 | 14 | 2001 |
Creation of numerical constants in robust gene expression programming I Fajfar, T Tuma Entropy 20 (10), 756, 2018 | 12 | 2018 |
Towards Smaller Populations in Differential Evolution I Fajfar, T Tuma, J Puhan, J Olenšek, Á Bűrmen Electronic Components and Materials 42 (3), 152-163, 2012 | 12 | 2012 |
A new curriculum for teaching embedded systems at the University of Ljubljana T Tuma, I Fajfar 2006 7th International Conference on Information Technology Based Higher …, 2006 | 12 | 2006 |
Fast Fourier transform computation using a digital CNN simulator M Perko, I Fajfar, T Tuma, J Puhan 1998 Fifth IEEE International Workshop on Cellular Neural Networks and their …, 1998 | 12 | 1998 |
Statistical design using variable parameter variances and application to cellular neural networks I Fajfar, F Bratkovic Proceedings of the Third IEEE International Workshop on Cellular Neural …, 1994 | 10 | 1994 |
Investigation of electrochemical processes in solid oxide fuel cells by modified Levenberg–Marquardt algorithm: A new automatic update limit strategy M Žic, I Fajfar, V Subotić, S Pereverzyev, M Kunaver Processes 9 (1), 108, 2021 | 9 | 2021 |
Start programming using HTML, CSS, and JavaScript I Fajfar CRC Press, 2015 | 9 | 2015 |
On selection in differential evolution I Fajfar, J Puhan, S Tomažič, A Bűrmen Elektrotehniški Vestnik 78, 275-280, 2011 | 9 | 2011 |
Spice for Windows 95/98/NT J Puhan, T Tuma, I Fajfar The University of Ljubljana, Slovenia, at the Faculty of Electrical Engineering, 1998 | 9 | 1998 |