Artificial neural network-based equation to predict the toxicity of herbicides on rats
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- 作者：Mabrouk Hamadachea ; mhamdeche@yahoo.fr" class="auth_mail" title="E-mail the corresponding author ; Salah Haninia ; s_hanini2002@yahoo.fr" class="auth_mail" title="E-mail the corresponding author ; Othmane Benkortbia ; benkortbi_oth@yahoo.fr" class="auth_mail" title="E-mail the corresponding author ; Abdeltif Amraneb ; abdeltif.amrane@univ-rennes1.fr" class="auth_mail" title="E-mail the corresponding author ; Latifa Khaouanea ; latifa_khaouane@yahoo.fr" class="auth_mail" title="E-mail the corresponding author ; Cherif Si Moussaa ; simoussa_cherif@yahoo.fr" class="auth_mail" title="E-mail the corresponding author
- 关键词：Acute oral toxicity ; ANN-based equation ; Domain applicability ; Herbicides ; Prediction
- 刊名：Chemometrics and Intelligent Laboratory Systems
- 出版年：2016
- 出版时间：15 May 2016
- 年：2016
- 卷：154
- 期：Complete
- 页码：7-15
- 全文大小：715 K
文摘
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Herbicides can be dangerous to the environment and the human health.
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The risk assessment of herbicides is crucial
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QSAR model for acute oral toxicity of herbicides is developed and proposed.
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This model has been developed and validated on the basis of the OECD principles.
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Artificial neural network-based equation to predict the toxicity of herbicides was established