Classification and calibration of organic matter fluorescence data with chemometric methods and artificial neural networks: an operational tool for improved drinking water treatment

MZ Bieroza; A Baker; J Bridgeman

doi:10.1002/env.1045

Classification and calibration of organic matter fluorescence data with chemometric methods and artificial neural networks: an operational tool for improved drinking water treatment

MZ Bieroza, A Baker, J Bridgeman

Department of Civil Engineering

Research output: Contribution to journal › Article (Academic Journal) › peer-review

54 Citations (Scopus)

Translated title of the contribution	Classification and calibration of organic matter fluorescence data with chemometric methods and artificial neural networks: an operational tool for improved drinking water treatment
Original language	English
Number of pages	22
Journal	Environmetrics
DOIs	https://doi.org/10.1002/env.1045
Publication status	Published - Jul 2010

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10.1002/env.1045

Cite this

@article{7c278dbbe8a943fb8be4967f9ee80d60,

title = "Classification and calibration of organic matter fluorescence data with chemometric methods and artificial neural networks: an operational tool for improved drinking water treatment",

author = "MZ Bieroza and A Baker and J Bridgeman",

year = "2010",

month = jul,

doi = "10.1002/env.1045",

language = "English",

journal = "Environmetrics",

issn = "1180-4009",

publisher = "John Wiley & Sons, Inc",

}

TY - JOUR

T1 - Classification and calibration of organic matter fluorescence data with chemometric methods and artificial neural networks: an operational tool for improved drinking water treatment

AU - Bieroza, MZ

AU - Baker, A

AU - Bridgeman, J

PY - 2010/7

Y1 - 2010/7

U2 - 10.1002/env.1045

DO - 10.1002/env.1045

M3 - Article (Academic Journal)

JO - Environmetrics

JF - Environmetrics

SN - 1180-4009

ER -