000			01795nam a22003017a 4500
999			_c51144 _d51144
003			OSt
005			20231213115551.0
008			231213s2023 enka||||||| 00|00 0neng c
020			_a978-0-443-15284-9
040			_aINGEMMET _bspa _cBIB
041			_aeng
100	1		_969474 _aBonakdari, Hossein
245	1	0	_aMachine learning in earth, environmental and planetary sciences: theoretical and practical applications
260			_bElsevier _aCambridge _c2023
300			_axvii, 370 p. _bilus.
504			_aIncluye referencias bibliográficas e índice
505			_aChapter 1: Dataset preparation -- Chapter 2: Preprocessing approaches -- Chapter 3:- Postprocessing approaches -- Chapter 4: Non-tuned single-layer feed-forward neural network learning machine—concept -- Chapter 5: Non-tuned single-layer feed-forward neural network learning machine—coding and implementation -- Chapter 6: Outlier-based models of the non-tuned neural network—concept -- Chapter 7: Outlier-based models of the non-tuned neural network—coding and implementation -- Chapter 8: Online sequential non-tuned neural network—concept -- Chapter 9: Online sequential nontuned neural network—coding and implementation -- Chapter 10: Self-adaptive evolutionary of non-tuned neural network—concept -- Chapter 11: Self-adaptive evolutionary of non-tuned neural network—coding and implementation
650		0	_918614 _aCIENCIAS DE LA TIERRA
650		0	_912413 _aCIENCIAS AMBIENTALES
650		0	_965302 _aAPRENDIZAJE AUTOMATICO
650		0	_949975 _aANALISIS DE DATOS
700			_969475 _aEbtehaj, Isa
700			_969476 _aLadouceur, Joseph D.
856			_yTabla de contenido _uhttps://doi.org/10.1016/C2022-0-00549-3
856			_ure/RE-LIB-325.pdf
910			_aJHUARACA
942			_2udc _cLIBR