Avoiding Pitfalls in Neural Network Research
Avoiding Pitfalls in Neural Network Research
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DOI：
10.1109/tsmcc.2006.876059
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发表时间：
2007
期刊：
影响因子：
--
通讯作者：
G. Zhang
中科院分区：
文献类型：
--
作者：
G. Zhang
近年来，人工神经网络（ann）得到了广泛的普及。研究活动相当多，文献也在不断增加。然而，在已发表的研究中，对神经网络的适当使用存在大量的关注。本文的目的是：1)指出神经网络研究中常见的缺陷和误用；2)关注重要问题的相关文献；3)为实际应用提出可能的补救措施和指导方针。我们想要传达的主要信息是，在使用人工神经网络进行研究和数据分析时必须非常小心
Artificial neural networks (ANNs) have gained extensive popularity in recent years. Research activities are considerable, and the literature is growing. Yet, there is a large amount of concern on the appropriate use of neural networks in published research. The purposes of this paper are to: 1) point out common pitfalls and misuses in the neural network research; 2) draw attention to relevant literature on important issues; and 3) suggest possible remedies and guidelines for practical applications. The main message we aim to deliver is that great care must be taken in using ANNs for research and data analysis