Karya
Judul/Title Prediction of Forest Fire using Hybrid SOM-AdaBoost Method
Penulis/Author Prof. Dr.rer.nat. Dedi Rosadi, S.Si.,, M.Sc. (1) ; WIDYASTUTI ANDRIYANI (2); Deasy Arisanti (3); DINA AGUSTINA (4)
Tanggal/Date 1 2021
Kata Kunci/Keyword
Abstrak/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.
Level Internasional
Status
Dokumen Karya
No Judul Tipe Dokumen Aksi
1Rosadi_2021_J__Phys_ _Conf__Ser__2123_012030.pdf[PAK] Full Dokumen
2L1 DR ICMSTR 2021.pdfDokumen Pendukung Karya Ilmiah (Hibah, Publikasi, Penelitian, Pengabdian)
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