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008			241209s2024 sz a|||fo|||| 001 0 eng d
020			_a9783031671593 _qebook
040			_beng _cUMP _erda _aUMPSA
090			_aQA76.87 .A38 2024
245	0	0	_aAdvances in self-organizing maps, learning vector quantization, interpretable machine learning, and beyond : _bproceedings of the 15th International Workshop, WSOM+ 2024, Mittweida, Germany, July 10-12, 2024 / _cThomas Villmann, Marika Kaden, Tina Geweniger, Frank-Michael Schleif, editors
264		1	_aCham : _bSpringer, _c2024
300			_a1 online resource
336			_2rdacontent _atext
337			_2rdamedia _acomputer
338			_2rdacarrier _aonline resource
490	1		_aLecture notes in networks and systems
500			_aIncludes index
650		0	_aNeural networks (Computer science) _vCongresses
650		0	_aSelf-organizing maps _vCongresses
650		0	_aSelf-organizing systems _vCongresses
700	1		_aVillmann, Thomas, _eeditor.
700	1		_aKaden, Marika, _eeditor.
700	1		_aGeweniger, Tina, _eeditor.
700	1		_aSchleif, Frank-Michael, _eeditor.
830		0	_aLecture notes in networks and systems
856	4	0	_uhttps://login.libraryumpsa.idm.oclc.org/login?qurl=https://link.springer.com%2fbook%2f10.1007%2f978-3-031-67159-3 _zOff-Campus link
856	4	0	_uhttps://link.springer.com/book/10.1007/978-3-031-67159-3 _zClick here to access (Direct Link)
942			_2lcc _cEBOOK