Application of adaptive neuro-fuzzy technique to determine the most relevant variables for daily soil temperature prediction at different depths
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- 作者：Kasra Mohammadia ; kmohammadi@umass.edu" class="auth_mail" title="E-mail the corresponding author ; Shahaboddin Shamshirbandb ; shamshirband@um.edu.my" class="auth_mail" title="E-mail the corresponding author ; Amirrudin Kamsinb ; Raja Jamilah Raja Yusofc
- 关键词：Soil temperature ; ANFIS ; Variable selection ; Prediction
- 刊名：Catena
- 出版年：2016
- 出版时间：October 2016
- 年：2016
- 卷：145
- 期：Complete
- 页码：204-213
- 全文大小：1638 K
文摘
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ANFIS is used to select most relevant variables for daily soil temperature prediction.
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Analysis is performed for 6 depths from 5 cm to 100 cm.
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Influence of 8 parameters on soil temperature is evaluated.
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Appropriate selection of input variables has a notable effect on prediction.
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Considering the most relevant combination of 2 parameters would be more suitable.