Winterer G, Ziller M, Klöppel B, Heinz A, Schmidt L G, Herrmann W M
Department of Psychiatry, Free University of Berlin, Germany.
Neuropsychobiology. 1998;37(1):41-8. doi: 10.1159/000026475.
Artificial neural networks (ANN) are widely used to solve problems of differentiating between groups. However, serious comparisons of this method with the traditional procedure for such tasks (discriminant analysis) are rare. Discussing the results of both methods with the example of highly topical data, we try to demonstrate advantages and drawbacks of both methods. For this purpose, quantitative EEGs of 78 alcoholics were investigated in order to determine whether it is possible to predict relapse of these patients at the beginning of treatment. ANN software is available in Kassel (Institute for Computer Sciences and Mathematics).
人工神经网络（ANN）被广泛用于解决区分不同群体的问题。然而，将这种方法与处理此类任务的传统程序（判别分析）进行认真比较的情况却很少见。我们以极具时效性的数据为例，讨论这两种方法的结果，试图展示两种方法的优缺点。为此，对78名酗酒者的定量脑电图进行了研究，以确定在治疗开始时是否有可能预测这些患者的复发情况。卡塞尔（计算机科学与数学研究所）有ANN软件可用。
