ManuScript Details
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Paper Id:
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IJCIRAS1319
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Title:
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SOIL TYPE CLASSIFICATION BASED ON NEURAL NETWORK
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| Published in: |
International Journal Of Creative and Innovative Research In All Studies |
| Publisher: |
IJCIRAS |
| ISSN: |
2581-5334 |
| Volume / Issue: |
Volume 2 Issue 3 |
| Pages: |
6
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| Published On: |
8/7/2019 10:00:09 PM (MM/dd/yyyy) |
| PDF Url: |
http://www.ijciras.com/PublishedPaper/IJCIRAS1319.pdf |
Main Author Details
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Name:
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Khin May Yee |
| Institute: |
Computer University |
Co - Author Details
| Author Name |
Author Institute |
| Thida San |
University of Computer Studies |
| Thu Zar Aung |
Government Technological High School |
Abstract
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Research Area:
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Agriculture science and enginnering |
| KeyWord: |
Artificial Neural Networks (ANNS), Data Mining, Soil Type |
| Abstract: |
Soil is an essential key factor of construction, agriculture and irrigation. Soil testing assesses the suitability of the soil for construction project with vital data for informed decision making and planning. The quality of the soil on site plays a key role in construction projects. The quantity and suitability of soil materials occurring at a dam site can only be reliably determined by test digging with an auger, backhoe or excavator. The quantity and suitability of soil materials occurring at a dam site can only be reliably determined by test digging with an auger, backhoe or excavator. The materials can then be properly seen and evaluated. Data Mining (DM) techniques becomes popular for classification of soil in the field of agriculture and engineering and has been used to analyze large data sets. The objective of the work is to predict soil type for dams using data mining techniques, such as Decision Tree, Naïve Bayesian, Support Vector Machines, ANNs and k-Nearest-Neighbor. In this paper, Artificial Neural Networks (ANNs) are used to classify soil type for dams in the irrigation department. |
Citations
Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.
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IEEE
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Khin May Yee, Thida San, Thu Zar Aung, "SOIL TYPE CLASSIFICATION BASED ON NEURAL NETWORK", International Journal Of Creative and Innovative Research In All Studies,
vol. 2, no. 3, pp. 6-11, 2019.
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MLA
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Khin May Yee, Thida San, Thu Zar Aung "SOIL TYPE CLASSIFICATION BASED ON NEURAL NETWORK." International Journal Of Creative and Innovative Research In All Studies,
vol 2, no. 3, 2019, pp. 6-11.
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APA
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Khin May Yee, Thida San, Thu Zar Aung (2019). SOIL TYPE CLASSIFICATION BASED ON NEURAL NETWORK. International Journal Of Creative and Innovative Research In All Studies,
2(3), 6-11.
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SOIL TYPE CLASSIFICATION BASED ON NEURAL NETWORK
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