Layanan journal yang disediakan oleh Perpustakaan Universitas Gunadarma
| Judul Artikel | : | METODE PERAMALAN MENGGUNAKAN TSK FUZZY DENGAN ATURAN PEMBELAJARAN HYBRID |
|---|---|---|
| Judul Terbitan | : | GEMATIKA Jurnal Manajemen Informatika |
| ISSN | : | 14112094 |
| Bahasa | : | IND |
| Tempat Terbit | : | Surabaya |
| Tahun | : | 0000 |
| Volume | : | Vol. 4 Issue 1 0000 |
| Penerbit | : | Bagian Penelitian dan Pengembangan STMIK |
| Frekuensi Penerbitan | : | |
| Penulis | : | Michael Baskara, Yusak Irawan |
| Abstraksi | : | Forecast method uses adaptive network rule learning which often cause dense and local mini-mum. To overcome the problem, it needs hybrid learning. The hybrid learning rule is a kind of combination between Least Squares Estimator (LSE) and gradient descent. The experiment shows that Takagi, Sugeno, and Kang (TSK) fuzzy combined with hybrid learning rule improve the speed of adaptive neuro fuzzy learning compared only by utilizing gradient descent. |
| Kata Kunci | : | Forecast; Hybrid Learning; LSE; TSK Fuzzy |
| Lokasi | : | 40 |
| Terakreditasi | : | belum |