Garuda Documents : ESTIMASI HUBUNGAN KUANTITATIF STRUKTUR-AKTIVITAS (HKSA) MENGGUNAKAN ARTIFICIAL NEURAL NETWORKS (ANN)
| Title | ESTIMASI HUBUNGAN KUANTITATIF STRUKTUR-AKTIVITAS (HKSA) MENGGUNAKAN ARTIFICIAL NEURAL NETWORKS (ANN) |
|---|---|
| Author Order | 1 of 1 |
| Accreditation | |
| Abstract | The Quantitative structure-Activity Relationship (QSAR) study has been performed on pattern of structure-molecule relationship. Artificial Neural Network (ANN) model used to estimate pattern of enzyme activity structure-molecule and atomic location in three-dimension for compound of flavonoid as the predictors. Value of determination coefficient used to compare between actual value and value of estimating by ANN models based on enzymeâÂÂs wavelength, so resulting cross validating is obtained. We use Quasy-Newton algorithm with Broyden-Fletcher-Goldfarb-Shanno (BFGS) procedure. |
| Publisher Name | Universitas Jenderal Soedirman |
| Publish Date | 2009-05-01 |
| Publish Year | 2009 |
| Doi | DOI: 10.20884/1.jm.2009.4.1.60 |
| Citation | |
| Source | Molekul |
| Source Issue | Vol 4, No 1 (2009) |
| Source Page | 33-38 |
| Url | https://ojs.jmolekul.com/ojs/index.php/jm/article/view/60/54 |
| Author | SUPRIYANTO, S.Si, M.Si |
| File | 2754067.pdf |