This article presents models of artificial neural networks (ANN) employed to predict the biological activity of chemical compounds based of their structure. Regression and classification models were designed to determine antimicrobial properties of quaternary ammonium salts against Escherichia coli strain.

中文翻译：

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人工神经网络在预测对大肠杆菌具有抗菌活性的新物质中的应用。

本文介绍了人工神经网络（ANN）模型，该模型用于根据化合物的结构预测化合物的生物活性。设计回归和分类模型以确定季铵盐对大肠杆菌菌株的抗菌性能。