Ground Vulnerability Modeling using Artificial Neural Network / Maureen Nettie N. Linan.
Material type:
TextPublication details: Quezon City : Technological Institute of the Philippines, 2018.Description: xi, 74 leaves : color illustrations ; 28 cmSubject(s): Online resources: | Item type | Current library | Collection | Call number | Status | Date due | Barcode | |
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CHED Funded Research
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Commission on Higher Education | Thesis and Dissertation | LG 996 2018 C6 L5 (Browse shelf(Opens below)) | Storage Area (Restricted Access) | CHEDFR-000261 | ||
Digital Thesis and Dissertations
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Commission on Higher Education | Digital Thesis and Dissertation | LG 996 2018 C6 L5 (Browse shelf(Opens below)) | Available (Room Use Only) | DCHEDFR-000010 |
Dissertation (Doctor in Information Technology) -- Technological Institute of the Philippines - Quezon City, October 2018.
CHED Funded Research.
Introduction -- Theoretical Framework -- Operational Framework -- Results and Discussion -- Summary, Conclusions, and Recommendations.
The 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...
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