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Classification of groundwater type, pilaspi quality by using Kohonen neural network | ||
| IRAQI JOURNAL OF STATISTICAL SCIENCES | ||
| Article 64, Volume 11, Issue 2, 2011, Pages 589-611 PDF (0 K) | ||
| DOI: 10.33899/iqjoss.2011.027817 | ||
| Abstract | ||
| In this research, classification of(24) wells in the aquifer of water existed within the Pilaspi Geology Formation in the Bashiqa area / North of Mosul, by using one of the types of artificial neural networks and specifically (kohonen network(,by depending on groundwater quality. Where achieved the use with some the software of the computers, including Global Mapper v.7, which had been determine the wells locations for the groundwater on the topographic map of the research area according to the latitude and longitude coordinates for utilization from it is statistical in the classification process, Also we use's software C++ v.3, who is use Programming of Kohonen network for the classification of those wells with intelligence technology to groups according to Electric Conductivity (E.C) in the water. | ||
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