Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5143563 | Journal of Taibah University for Science | 2017 | 18 Pages |
Abstract
This study shows that the results obtained by MLR were suitable and have served to predict toxicity, but compared to the results of the ANN model, we conclude that the prediction achieved by the latter is more effective and better than MLR model. The statistical results of the predictive performance indicate that the ANN model is statistically significant than the previous reported model based on CART-LS-SVR. Following to the obtained results, our proposed model may be useful to predict of toxicity and risk assessment of chemicals.
Related Topics
Physical Sciences and Engineering
Chemistry
Chemistry (General)
Authors
Mounir Ghamali, Samir Chtita, Abdellah Ousaa, Bouhya Elidrissi, Mohammed Bouachrine, Tahar Lakhlifi,