A new neural network ensemble heuristic for a predictor of the aldose reductase inhibitory activity

R. Parra-Hernandez, E. M. Laxdal, N. Dimopoulos, P. Alexiou
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引用次数: 5

Abstract

In this paper, we present a mechanism to obtain a neural network-based model that predicts an enzyme inhibitory activity of a group of compounds. The mechanism selects the compounds, among a sparse set of, that should be used to obtain models of the inhibitory activity of interest. That is, the mechanism is aimed to the selection of a training set of compounds which will ensure that the training of a neural network-based model will result in a system capable of generalization
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一种新的预测醛糖还原酶抑制活性的神经网络集合启发式方法
在本文中,我们提出了一种机制,以获得一个基于神经网络的模型,预测一组化合物的酶抑制活性。该机制选择的化合物,在稀疏的一组,应该用来获得感兴趣的抑制活性的模型。也就是说,该机制旨在选择化合物的训练集,以确保基于神经网络的模型的训练将产生具有泛化能力的系统
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