Artificial neural networks: a brief literature review

Q3 Decision Sciences
Kemal Gokhan Nalbant, Yavuz Ozdemir, Omer Refik Inan
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引用次数: 0

Abstract

There are thousands of studies in the literature on the use of artificial neural network methods in estimation problems. As in all issues, modeling is one of the essential processes for the solution of estimation problems. In order to make a good prediction, it is necessary to pay attention to the necessary rules. The more attention is paid to the estimation stages, the more accurate the assessment will be, and the results can be generalized. In this study, publications in the literature on artificial neural networks were examined. This work aims to explore the studies on artificial neural networks and emphasize their importance. It is also ofgreat importance to increase the number of studies in this field.
人工神经网络:文献综述
关于在估计问题中使用人工神经网络方法的文献中有成千上万的研究。在所有问题中,建模是解决评估问题的基本过程之一。为了做出好的预测,有必要注意必要的规则。对评估阶段的关注越多,评估就越准确,结果也就越具有普遍性。在本研究中,我们对人工神经网络的相关文献进行了分析。本文旨在探讨人工神经网络的研究,并强调其重要性。增加这一领域的研究也是非常重要的。
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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来源期刊
Journal of Management Information and Decision Science
Journal of Management Information and Decision Science Decision Sciences-Information Systems and Management
自引率
0.00%
发文量
25
期刊介绍: Journal of Management Information and Decision Sciences (JMIDS) is a reputed open access journal affiliated to Allied Business Academies. The journal focuses on disseminating the latest research in the field of management information system and its role in decision making, as well their relationships to cognate disciplines including Economics, Finance, Management, Management Science, Marketing, Statistics, Operations Research and Engineering. The journal adheres to stringent double blind peer review policy to maintain the publication quality.
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