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[nazev] => Global versus local aproximation in inverse problem
[nazev_orig] => Global versus local aproximation in inverse problem
[duvernost_udaju_id] => S
[popis] => The paper compares global and local approximation methods used in inverse problems. Global approximators are represented by feedforward multilayer neural network (FFNN); local approximators are represented by Locally Weighted Regression (LWR) and Receptive Field Weighted Regression (RFWR).
[popis_orig] => The paper compares global and local approximation methods used in inverse problems. Global approximators are represented by feedforward multilayer neural network (FFNN); local approximators are represented by Locally Weighted Regression (LWR) and Receptive Field Weighted Regression (RFWR).
[klicova_slova] => inverse problem, approximators, neural networks, weighted regression
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[citace_html] => KREJSA, J., VĚCHET, S., PULCHART, J. Global versus local aproximation in inverse problem. Elektronika, 2004, vol. 2004, no. 8-9, 4 p. ISSN: 0033-2089.
[citace_rtf] =>
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author="Jiří {Krejsa} and Stanislav {Věchet} and Jaroslav {Pulchart}",
title="Global versus local aproximation in inverse problem",
journal="Elektronika",
year="2004",
volume="2004",
number="8-9",
pages="4",
issn="0033-2089"
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[nazev_en] => Global versus local aproximation in inverse problem
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[nazev] => Efficient Q-learning modification aplied on active magnetic bearing control
[nazev_orig] => Efficient Q-learning modification aplied on active magnetic bearing control
[duvernost_udaju_id] => S
[popis] => The paper is focused on use of Q-learning for active magnetic bearing (AMB) control. Q-learning belongs to the reinforcement learning methods which are the part of real time machine learning approaches. The essence of proposed method is in separating the Q-learning into two phases – prelearning phase, which use mathematical model of real system and tutorage phase, which works with the real system and is used for further improvement of Q-values found during the prelearning phase. Proposed learning method, used in prelearning phase, proved to be highly efficient. Controller based on Q-learning show better results (regarding the number of successful trials) than referential PID controller after only 1000 table passes. The control quality criterion results are comparable. The policy found by learning also shows high robustness against errors of system variables observations, even only very simple reinforcement function in shape of simple reduced penalty is used.
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[klicova_slova] => Reinforcement learning, Q-learning, Active magnetic bearing
[klicova_slova_orig] => Reinforcement learning, Q-learning, Active magnetic bearing
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[citace_rtf] =>
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author="Tomáš {Březina} and Jiří {Krejsa}",
title="Efficient Q-learning modification aplied on active magnetic bearing control",
journal="Inženýrská mechanika - Engineering Mechanics",
year="2004",
volume="11/2004",
number="2",
pages="14",
issn="1210-2717"
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[nazev_en] => Efficient Q-learning modification aplied on active magnetic bearing control
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[nazev] => Návrh robustního řízení modifikovaným Q-učením
[nazev_orig] => Návrh robustního řízení modifikovaným Q-učením
[duvernost_udaju_id] => S
[popis] => Metoda Q-učení je algoritmus ze skupiny opakovaně posilovaného učení. Standardní metoda Q=učení pracuje s dikrétními stavy a akcemi. V této práci je presentována metoda spojitého Q-učení, která vznikla modifikací standardního algoritmu.
[popis_orig] => Metoda Q-učení je algoritmus ze skupiny opakovaně posilovaného učení. Standardní metoda Q=učení pracuje s dikrétními stavy a akcemi. V této práci je presentována metoda spojitého Q-učení, která vznikla modifikací standardního algoritmu.
[klicova_slova] => Q-učení, Strojové učení
[klicova_slova_orig] => Q-učení, Strojové učení
[url] =>
[oecd_obor_id] => 10201
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Edice PhD Thesis (CZ)
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[citace_text] => VĚCHET, S. Návrh robustního řízení modifikovaným Q-učením. Vědecké spisy Vysokého učení technického v Brně Edice PhD Thesis, 2005, č. 1, 29 s. ISSN: 1213-4198.
[citace_html] => VĚCHET, S. Návrh robustního řízení modifikovaným Q-učením. Vědecké spisy Vysokého učení technického v Brně Edice PhD Thesis, 2005, č. 1, 29 s. ISSN: 1213-4198.
[citace_rtf] =>
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author="Stanislav {Věchet}",
title="Návrh robustního řízení modifikovaným Q-učením",
journal="Vědecké spisy Vysokého učení technického v Brně
Edice PhD Thesis",
year="2005",
number="1",
pages="29",
issn="1213-4198"
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[nazev_en] => The proposal of robust control through modified Q-learning
[popis_en] => Q-learning is a popular learning method from group of reinforcement learning algorithms. Standard Q-learning algorithm is based on discrete state-action space. If is necessary to used Q-learning in continuous space, the another approach is needed. In this work the method how to modify Q-learning is presented.
[klicova_slova_en] => Q-learnin, Machine learning
[vysledek_datum] => 2005-01-01T00:00:00+01:00
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[nazev_orig] => Theoretical and practical aspects of mechatronics
[duvernost_udaju_id] => S
[popis] => The facts which led to the origination of mechatronics and biomechatronics are analyzed in the contribution. These branches and additionally biomechanics are determined here from the point of view of the present knowledge level. The classification of biomechatronic products and illustrative examples of this classification are presented. The contribution contains eleven attributes of biomechatronics. The contribution further demonstrates the examples of biomechatronic products: the torque screwdriver for bone tissue, experimental device for spine elements testing and experimental device for testing the abrasion of polyethylene coating of total endoprothesis
[popis_orig] => The facts which led to the origination of mechatronics and biomechatronics are analyzed in the contribution. These branches and additionally biomechanics are determined here from the point of view of the present knowledge level. The classification of biomechatronic products and illustrative examples of this classification are presented. The contribution contains eleven attributes of biomechatronics. The contribution further demonstrates the examples of biomechatronic products: the torque screwdriver for bone tissue, experimental device for spine elements testing and experimental device for testing the abrasion of polyethylene coating of total endoprothesis
[klicova_slova] => mechatronics, biomechatronics, attributes of biomechatronics, mechatronic approach, biomechatronic products
[klicova_slova_orig] => mechatronics, biomechatronics, attributes of biomechatronics, mechatronic approach, biomechatronic products
[url] =>
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[citace_text] => JANÍČEK, P.; BŘEZINA, T.; FLORIAN, Z.; AXMAN, P. Theoretical and practical aspects of mechatronics. Elektronika, 2005, vol. 2005, no. 8, 5 p. ISSN: 0033-2089.
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