Predictive Modeling of Toxicity of Ionic Liquids toward Acetylcholinesterase Enzymes by Using Artificial Neural Network Optimized by Grey Wolf Optimization - Dalam bentuk buku karya ilmiah
MUHAMMAD ILHAM HAKIM SOMANTRI
Informasi Umum
Kode
25.04.446
Klasifikasi
000 - General Works
Jenis
Karya Ilmiah - Skripsi (S1) - Reference
Subjek
Tugas Akhir
Dilihat
77 kali
Informasi Lainnya
Abstraksi
The aim of this study is to develop a predictive model to assess the toxicity of ionic liquids (ILs) towards acetyl- cholinesterase (AChE) enzymes, specifically evaluating the per- formance of the GWO-optimized ANN model in predicting ILs toxicity to AChE. An artificial neural network (ANN) optimised by the Grey Wolf Optimizer (GWO) was used. The excessive use of ILs, in spite of their low volatility and high thermal stability, raises concerns for the environment and human health due to their potential toxicity to biological systems. To address these issues, a dataset of 160 ILs was encoded using the PaDEL descriptor, and an ANN model was constructed and optimised using GWO to improve predictive performance. The optimised ANN model, configured with one hidden layer, 97 hidden nodes, a tanh activation function and the Adam optimiser, achieved a high prediction accuracy with an R² value of 0.870. These results demonstrate the effectiveness of the model in predicting IL toxicity and its potential to reduce
- IFG444 - TUGAS AKHIR II
Koleksi & Sirkulasi
Tersedia 1 dari total 1 Koleksi
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Pengarang
| Nama | MUHAMMAD ILHAM HAKIM SOMANTRI |
| Jenis | Perorangan |
| Penyunting | Isman Kurniawan |
| Penerjemah |
Penerbit
| Nama | Universitas Telkom, S1 Informatika |
| Kota | Bandung |
| Tahun | 2025 |
Sirkulasi
| Harga sewa | IDR 0,00 |
| Denda harian | IDR 0,00 |
| Jenis | Non-Sirkulasi |
