生物医学应用的神经网络性能指标

[1990] Proceedings. Third Annual IEEE Symposium on Computer-Based Medical Systems Pub Date : 1990-06-03 DOI:10.1109/CBMSYS.1990.109410

R. Eberhart, R. W. Dobbins

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引用次数: 8

摘要

讨论了神经网络的性能测量。包括正确率、平均和平方误差、受试者工作特征(ROC)曲线测量、基于ROC曲线参数的其他测量和卡方拟合优度度量。所选择的具体措施取决于系统的类型和其他更松散定义的参数，例如系统最终用户的技术复杂程度。

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Neural network performance metrics for biomedical applications

Neural network performance measurements are discussed. Included are percent correct, average sum-squared error, receiver operating characteristics (ROC) curve measurements, other measurements based on ROC curve parameters, and the chi-square goodness-of-fit metric. The specific measure chosen depends on the type of system and other more loosely defined parameters such as the level of technical sophistication of the system end user.<>

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[1990] Proceedings. Third Annual IEEE Symposium on Computer-Based Medical Systems

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