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040			_cCHED
100			_aLinan, Maureen Nettie N.
245			_aGround Vulnerability Modeling using Artificial Neural Network / _cMaureen Nettie N. Linan.
260			_aQuezon City : _bTechnological Institute of the Philippines, _c2018.
300			_axi, 74 leaves : _bcolor illustrations ; _c28 cm.
500			_aDissertation (Doctor in Information Technology) -- Technological Institute of the Philippines - Quezon City, October 2018.
501			_aCHED Funded Research.
505			_aIntroduction -- Theoretical Framework -- Operational Framework -- Results and Discussion -- Summary, Conclusions, and Recommendations.
520			_aThe use of contaminated groundwater due to improper disposal of organic and toxic components for drinking and cooking posed health risks. The assessment of groundwater vulnerability to contamination plays a vital role in the utilization and protection of groundwater resources...
650			_aGroundwater vulnerability.
650			_aContaminated groundwater.
650			_aArtificial neural networks.
856			_zAbstract _uhttp://62.72.45.86/cgi-bin/koha/opac-retrieve-file.pl?id=c88f35cceb2de00598c27fb7b84eac13
856			_zTable of Contents _uhttp://62.72.45.86/cgi-bin/koha/opac-retrieve-file.pl?id=d84e39e70c6bcf1f6933257970d9ea81
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