神经网络:数据分析的新工具?

J. C. Bioch, W. Verbeke, M.W. van Dijk
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引用次数: 7

摘要

神经网络模型已经成功地应用于许多学科,如心理学、计算机科学、遗传学、语言学和工程学。近年来,神经网络也被应用于经济学和消费心理学。我们回顾了多层网络的统计特性,以便更好地理解神经网络作为社会科学中数据分析工具的有用性。作为一个应用程序,我们分析市场问题中的数据,特别是销售人员档案。我们比较了两种类型的神经网络:多层感知器和学习向量量化网络,并使用传统的统计方法,在这种情况下进行判别分析。最后,我们评估了神经网络作为经济学和市场营销研究工具的使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Neural Networks: New Tools For Data Analysis ?
Neural network models have been successfully used in many disciplines such as psychology, computer science, genetics, linguistics and engineering. Recently neural networks are also applied in economics and consumer psychology. We review the statistical properties of multi-layer networks for a better understanding of the usefulness of neural networks as a tool for data-analysis in the social sciences. As an application we analyze the data in a marketing problem, specifically sales’ people projiles. We compare the results obtained with two type of neural networks: multilayer perceptrons and learning vector quantization networks, with a traditional statistical method, in this case discriminant analysis. Finally, we evaluate the use of neural networks as a research tool in economics and marketing.
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