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Description
  • The article introduces a new technique for process modeling. On the basis of the fact that once nonlinear problem is modeled by piecewise-linear model, it can be solved by many efficient techniques, the result of introduced technique provides a set of linear equations. Each of these equations is valid in some region of state space and together, they approximate whole nonlinear process.
  • The article introduces a new technique for process modeling. On the basis of the fact that once nonlinear problem is modeled by piecewise-linear model, it can be solved by many efficient techniques, the result of introduced technique provides a set of linear equations. Each of these equations is valid in some region of state space and together, they approximate whole nonlinear process. (en)
Title
  • Piecewise-linear Neural Network: a Tool for Modeling of the Processes to Be Controlled
  • Piecewise-linear Neural Network: a Tool for Modeling of the Processes to Be Controlled (en)
skos:prefLabel
  • Piecewise-linear Neural Network: a Tool for Modeling of the Processes to Be Controlled
  • Piecewise-linear Neural Network: a Tool for Modeling of the Processes to Be Controlled (en)
skos:notation
  • RIV/00216275:25530/14:39898580!RIV15-MSM-25530___
http://linked.open...avai/riv/aktivita
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  • S
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  • 36623
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  • RIV/00216275:25530/14:39898580
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  • piecewise-linear activation function; process modeling; artificial neural network (en)
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  • [16CE3FC85F06]
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  • Las Vegas
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  • Los Alamitos
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  • Proceedings 2014 International Conference on Computational Science and Computational Intelligence
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  • Doležel, Petr
  • Rozsíval, Pavel
  • Mariška, Martin
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number of pages
http://bibframe.org/vocab/doi
  • 10.1109/CSCI.2014.76
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  • IEEE (Institute of Electrical and Electronics Engineers)
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  • 978-1-4799-3009-8
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  • 25530
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