Integration of artificial neural network and geographic information system applications in simulating groundwater quality
Background: Although experiments on water quality are time consuming and expensive, models are often employed as supplement to simulate water quality. Artificial neural network (ANN) is an efficient tool in hydrologic studies, yet it cannot predetermine its results in the forms of maps and geo-refe...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Kerman University of Medical Sciences
2016-10-01
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| Series: | Environmental Health Engineering and Management |
| Subjects: | |
| Online Access: | http://ehemj.com/article-1-202-en.html |