000 01186 a2200337 4500
005 20250514000550.0
264 0 _c20010614
008 200106s 0 0 eng d
022 _a0013-936X
024 7 _a10.1021/es001264o
_2doi
040 _aNLM
_beng
_cNLM
100 1 _aPigram, G M
245 0 0 _aUse of neural network models to predict industrial bioreactor effluent quality.
_h[electronic resource]
260 _bEnvironmental science & technology
_cJan 2001
300 _a157-62 p.
_bdigital
500 _aPublication Type: Journal Article
650 0 4 _aAmmonia
_xanalysis
650 0 4 _aBiodegradation, Environmental
650 0 4 _aBioreactors
_xstandards
650 0 4 _aCalifornia
650 0 4 _aHydrogen-Ion Concentration
650 0 4 _aNeural Networks, Computer
650 0 4 _aPetroleum
_xanalysis
650 0 4 _aPhenols
_xanalysis
650 0 4 _aQuality Control
650 0 4 _aWaste Disposal, Fluid
_xstandards
650 0 4 _aWater Pollutants, Chemical
_xanalysis
700 1 _aMacDonald, T R
773 0 _tEnvironmental science & technology
_gvol. 35
_gno. 1
_gp. 157-62
856 4 0 _uhttps://doi.org/10.1021/es001264o
_zAvailable from publisher's website
999 _c11284508
_d11284508