用神经网络提高性能——来自营销领域的一个例子

Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290) Pub Date : 2002-08-07 DOI:10.1109/IJCNN.2002.1007771

U. Johansson, L. Niklasson

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引用次数: 2

摘要

本文表明，人工神经网络可以利用营销投资领域的时间结构。比较了两种体系结构;抽头延迟神经网络和简单递归网络。对其性能进行了评价，并提出了扩展方法。该方法使用敏感性分析，并确定哪些输入参数可以被删除以提高性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Increased performance with neural nets - an example from the marketing domain

This paper shows that artificial neural networks can exploit the temporal structure in the domain of marketing investments. Two architectures are compared; a tapped delay neural network and simple recurrent net. The performance is evaluated, and the method for extending it is suggested. The method uses a sensitivity analysis and identifies which input parameters that could be removed for increased performance.

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Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290)

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