Performance of Clustering on ANFIS for Weather Forecasting
This paper proposes the comparison of using K-Means and Fuzzy C-Means (FCM) to optimize the premise parameters on Adaptive Neuro-Fuzzy Inference System (ANFIS) for weather forecasting. The ANFIS architecture groups each of the feature inputs in the first layer into three clusters, and uses three rul...
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| Format: | Article |
| Language: | English |
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Bina Nusantara University
2018-05-01
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| Series: | CommIT Journal |
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| Online Access: | https://journal.binus.ac.id/index.php/commit/article/view/3941 |