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Comparison of a Back Propagation Artificial Neural Network Model with a Linear Regression Model for Personnel Selection.

机译：背向传播人工神经网络模型与人员选择线性回归模型的比较。

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This exploratory research examined the usefulness of an Artificial Neural Network-Back Propagation (ANN-BP) model predicting dichotomous criteria in personnel selection. The results are quite encouraging. Under a wide variety of circumstances, the ANN-BP model was superior to the Ordinary Least-Squares-Linear Regression (OLS-LR) model in predicting curvilinear relationships. When the underlying relationship was linear, there were no significant differences. This is somewhat remarkable, given that the OLS-LR model was designed to perform optimally in the linear case. Artificial neural networks, Back propagation, Personnel selection.

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作者
Wilkins, C. A.; Sands, W. A.;
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年度 1994
页码 1-16
总页数 16
原文格式 PDF
正文语种 eng
中图分类工业技术;
关键词
Neural nets; Personnel selection; Linear regression analysis; Models; Propagation; Mathematical models; Mathematical prediction;

机译：神经网络;人员选择;线性回归分析;模型;传播;数学模型;数学预测;

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Comparison of a Back Propagation Artificial Neural Network Model with a Linear Regression Model for Personnel Selection.

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