ACADSTAFF UGM
| Title | : | Prediction of Forest Fire using Hybrid SOM-AdaBoost Method |
| Author | : |
Prof. Dr.rer.nat. Dedi Rosadi, S.Si., M.Sc. (1) WIDYASTUTI ANDRIYANI (2) Deasy Arisanti (3) DINA AGUSTINA (4) |
| Date | : | 1 2021 |
| Keyword | : | - - |
| Abstract | : | Prediction of the occurrences of forest fire has become interest of various research studies for instances, it is found that the hybrid method based on clustering using fuzzy c- means before doing the classification approach will improve the performance of prediction than directly apply the classification approach. In this study, we will consider the new hybrid approach between clustering based on Self Organizing Map (SOM) approach and classification using Boosting (AdaBoost) approach. Our empirical analysis shows using the same public data set, which has been used in several previous studies, the performance of hybrid SOM- AdaBoost will outperforms other methods in literatures. |
| Group of Knowledge | : | |
| Level | : | Internasional |
| Status | : |
Published
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