000 | 01277 a2200313 4500 | ||
---|---|---|---|
005 | 20250517195041.0 | ||
264 | 0 | _c20180817 | |
008 | 201808s 0 0 eng d | ||
022 | _a1873-3557 | ||
024 | 7 |
_a10.1016/j.saa.2018.01.028 _2doi |
|
040 |
_aNLM _beng _cNLM |
||
100 | 1 | _aSheykhizadeh, Saheleh | |
245 | 0 | 0 |
_aAn efficient swarm intelligence approach to feature selection based on invasive weed optimization: Application to multivariate calibration and classification using spectroscopic data. _h[electronic resource] |
260 |
_bSpectrochimica acta. Part A, Molecular and biomolecular spectroscopy _cApr 2018 |
||
300 |
_a202-210 p. _bdigital |
||
500 | _aPublication Type: Journal Article | ||
650 | 0 | 4 | _aAlgorithms |
650 | 0 | 4 | _aArtificial Intelligence |
650 | 0 | 4 | _aCalibration |
650 | 0 | 4 |
_aGasoline _xanalysis |
650 | 0 | 4 | _aIntroduced Species |
650 | 0 | 4 | _aLeast-Squares Analysis |
650 | 0 | 4 |
_aPlant Weeds _xgrowth & development |
650 | 0 | 4 |
_aTriticum _xclassification |
650 | 0 | 4 |
_aWine _xanalysis |
700 | 1 | _aNaseri, Abdolhossein | |
773 | 0 |
_tSpectrochimica acta. Part A, Molecular and biomolecular spectroscopy _gvol. 194 _gp. 202-210 |
|
856 | 4 | 0 |
_uhttps://doi.org/10.1016/j.saa.2018.01.028 _zAvailable from publisher's website |
999 |
_c27998690 _d27998690 |