xMLC - A Toolkit for Machine Learning Control
Created by W.Langdon from
gp-bibliography.bib Revision:1.8178
- @Book{dbbs_mods_00071130,
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author = "Guy Y. {Cornejo Maceda} and Francois Lusseyran and
Bernd R. Noack",
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title = "{xMLC} - A Toolkit for Machine Learning Control",
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publisher = "Technische Universitaet Braunschweig",
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year = "2022",
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volume = "2",
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series = "Machine Learning Tools in Fluid Mechanics",
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address = "Braunschweig, Germany",
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edition = "First edition",
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keywords = "genetic algorithms, genetic programming, MATLAB,
Octave",
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file = ":https://leopard.tu-braunschweig.de/servlets/MCRZipServlet/dbbs_derivate_00049782:TYPE",
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language = "en",
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URL = "https://leopard.tu-braunschweig.de/receive/dbbs_mods_00071130",
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URL = "https://leopard.tu-braunschweig.de/servlets/MCRFileNodeServlet/dbbs_derivate_00049782/2022_xMLC_CornejoMaceda.pdf",
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URL = "https://doi.org/10.24355/dbbs.084-202007031022-0",
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DOI = "doi:10.24355/dbbs.084-202208220937-0",
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code_url = "https://github.com/gycm134/xMLC",
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size = "96 pages",
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abstract = "xMLC is the second book of this Machine Learning Tools
in Fluid Mechanics Series and focuses on Machine
Learning Control (MLC). The objectives of this book are
two-fold: First, provide an introduction to MLC for
students, researchers, and newcomers on the field; and
second, share an open-source code, xMLC, to
automatically learn open and closed-loop control laws
directly in the plant with only a few executable
commands",
- }
Genetic Programming entries for
Guy Yoslan Cornejo Maceda
Francois Lusseyran
Bernd R Noack
Citations