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126

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Model reference control of nonlinear TITO systems by dynamic output feedback linearization of neural network based ANARX modelsBelikov, Juri; Petlenkov, EduardControl Applications (CCA) & Intelligent Control (ISIC) : 2009 IEEE : 8-10 July 2009, St.Petersburg2009 / p. 1820-1825 https://ieeexplore.ieee.org/document/5410177?tp=&arnumber=5410177

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127

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Modeling the toxicity of chemicals to Tetrahymena pyriformis using heuristic multilinear regression and heuristic back-propagandation neural networksKahn, Iiris; Sild, Sulev; Maran, UkoJournal of chemical information and modeling2007 / 6, p. 2271-2279 https://pubs.acs.org/doi/10.1021/ci700231c

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128

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Modelling a new composite from a recycled GFRPKers, Jaan; Majak, JüriMechanics of composite materials2008 / 6, p. 623-632 : ill https://ui.adsabs.harvard.edu/abs/2008MCM....44..623K/abstract

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129

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Modelling of magnetization processes of 3D-Printed Fe-Si components by means of an artificial neural network implemented in a FEM schemeStella, Marco; Faba, Antonio; Bertolini, Vittorio; Fulginei, F. Riganti; Sabino, Lorenzo; Tiismus, Hans; Kallaste, Ants; Cardelli, Ermanno2024 International Conference on Electrical Machines (ICEM)2024 / 7 p https://doi.org/10.1109/ICEM60801.2024.10700301

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130

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Modelling of magnetization processes of 3D-printed Fe-Si components by means of an artificial neural network implemented in a Finite Element SchemeStella, Marco; Faba, Antonio; Bertolini, Vittorio; Riganti-Fulginei, Francesco; Sabino, Lorenzo; Tiismus, Hans; Kallaste, Ants; Cardelli, ErmannoIEEE Open Journal of the Industrial Electronics Society2025 / p. 1650-1662 http://doi.org/10.1109/OJIES.2025.3620857 https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11202631&tag=1

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131

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Multifrequency testing and diagnosis of analog and mixed signal circuits using neuromorphic classifierLantsov, V.; Rudakov, O.; Mosin, S.BEC'98 : the 6th Biennial Conference on Electronics and Microsystems Technology, October 7-9, 1998, Tallinn, Estonia : proceedings1998 / p. 347-348

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132

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Multi-objective machine learning optimization of cylindrical TPMS lattices for bone implantsRezapourianghahfarokhi, Mansoureh; Cheloee Darabi, Ali; Khoshbin, Mohammadreza; Hussainova, IrinaBiomimetics2025 / art. 475 http://doi.org/10.3390/biomimetics10070475

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133

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Multirate depth control of an AUV by neural network model reference controller for enhanced situational awarenessAstrov, Igor; Gordon, BorisRecent researches in applied information science : proceedings of the 5th WSEAS World Congress on Applied Computing Conference (ACC '12) : proceedings of the 1st International Conference on Biologically Inspired Computation (BIC '12) : University of Algarve, Faro, Portugal, May 2-4, 20122012 / p. 32-37 : ill http://www.wseas.us/e-library/conferences/2012/Algarve/BICA/BICA-04.pdf

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134

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Multirate depth control of an AUV by neural network predictive controller for enhanced situational awareness [Electronic resource]Astrov, Igor; Pedai, Andrus5th International Symposium on Computational Intelligence and Intelligent Informatics (ISCIII 2011) : Floriana, Malta, September 15-17, 2011 : proceedings2011 / p. 47-52 [CD-ROM] https://ieeexplore.ieee.org/document/6069740

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135

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NESTIMATOR - a neural network based estimatorEllervee, Peeter2nd Baltic Summer School on Information Technology and Systems Engineering, 25-28 July 1994, Nelijärve1994

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136

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Neural Architecture Search (NAS) for designing optimal power quality disturbance classifiersWang, Qianchao; Kapuza, Itamar; Baimel, Dmitry; Belikov, Juri; Levron, Yoash; Machlev, RamElectric Power Systems Research2023 / art. 109574 https://doi.org/10.1016/j.epsr.2023.109574 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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137

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Neural network based dynamic pole placement control of nonlinear systemsPetlenkov, Eduard; Belikov, JuriIEEE International Conference on Control and Automation : ICCA 2009 : Christchurch, New Zealand, December 9-11, 20092009 / p. 410-415 https://ieeexplore.ieee.org/document/5410160

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138

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Neural network based estimator to explore the design space at system levelEllervee, Peeter; Öberg, Johnny; Jantsch, Axel; Hemani, AhmedBEC : Baltic Electronics Conference : proceedings of the 4th Biennial Conference, October 9-14, 1994, Tallinn (Estonia). 21994 / p. 391-396: ill https://www.ester.ee/record=b2150914*est

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139

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Neural network based minimal state-space representation of nonlinear MIMO systems for feedback controlVassiljeva, Kristina; Petlenkov, Eduard; Belikov, JuriThe 11th International Conference Control, Automation, Robotics and Vision : ICARCV 2010 : 7–10 December 2010, Singapore2010 / p. 2191-2196 https://www.researchgate.net/publication/221144201_Neural_network_based_minimal_state-space_representation_of_nonlinear_MIMO_systems_for_feedback_control

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140

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Neural network based system for real-time organ recognition by analysis of sequence of endoscopic images received during surgical operationArtemtšuk, Igor; Petlenkov, Eduard; Miyawaki, F.; Gladki, A.BEC 2010 : 2010 12th Biennial Baltic Electronics Conference : proceedings of the 12th Biennial Baltic Electronics Conference : Tallinn University of Technology, October 4-6, 2010, Tallinn, Estonia2010 / p. 349-352 : ill

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141

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Neural network control of green energy vehicles with blended braking systemsVodovozov, Valery; Petlenkov, Eduard; Aksjonov, Andrei; Raud, ZojaRenewable Energy & Power Quality Journal2021 / p. 344-349 https://doi.org/10.24084/repqj19.291 Journal metrics at Scopus Article at Scopus

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142

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Neural network control of vehicles : modeling and simulationAstrov, Igor2022 https://doi.org/10.52305/GXGD6357 https://www.ester.ee/record=b5642329*est

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143

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Neural network method to determine the vigilance levelsTuulik, Viiu; Meister, Ants; Raja, Aimur; Lossmann, EerikTechnology and Health Care, Zürich, 19961996

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144

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Neural network-based model reference control of braking electric vehiclesVodovozov, Valery; Aksjonov, Andrei; Petlenkov, Eduard; Raud, ZojaEnergies2021 / art. 2373 https://doi.org/10.3390/en14092373 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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145

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Neural networks as the tool of knowledge extraction for fixture designPortjanski, Leonid; Nekrassov, GrigoriAnnals of DAAAM for 2006 & proceedings of the 17th International DAAAM Symposium "Intelligent Manufacturing & Automation : Focus on Mechatronics and Robotics" : 8-11th November 2006, Vienna, Austria2006 / p. 315-316

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146

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Neural networks based ANARX structure for identification and model based controlPetlenkov, Eduard; Nõmm, Sven; Kotta, Ülle9th International Conference on Control, Automation, Robotics and Vision : 5-8 December, 2006, Singapore : [proceedings]2006 / p. 2284-2288 https://ieeexplore.ieee.org/document/4150221

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147

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Neural networks based identification for controlVassiljeva, Kristina; Petlenkov, Eduard; Belikov, JuriInfo- ja kommunikatsioonitehnoloogia doktorikooli IKTDK viienda aastakonverentsi artiklite kogumik : 25.-26. novembril 2011, Nelijärve2011 / p. 157-160 : ill

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148

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Neural networks based simplified ANARX structure for control on nonlinear MIMO systemsPetlenkov, EduardInfo- ja kommunikatsioonitehnoloogia doktorikooli IKTDK teise aastakonverentsi artiklite kogumik : 11.-12. mai 2007, Viinistu kunstimuuseum2007 / lk. 39-42 : ill

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149

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Neural networks based system for the supervision of therapeutic exercisesNõmm, Sven; Kuusik, Alar; Ovsjanski, Sergei; Malmberg, Ines; Parve, Marko; Orunurm, LiiNeural information processing : 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012 : proceedings. Part IV2012 / p. 364-371 : ill https://link.springer.com/chapter/10.1007/978-3-642-34478-7_45

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150

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A neutral network based identification for complex non-linear systemsVaarmann, OtuProceedings of the 3rd International Conference on Applied Operational Research, 24-26 August 2011, Istanbul, Turkey2011 / p. 39-46

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