Artificial neural networks: a brief literature review

Kemal Gokhan Nalbant, Yavuz Ozdemir, Omer Refik Inan
{"title":"Artificial neural networks: a brief literature review","authors":"Kemal Gokhan Nalbant, Yavuz Ozdemir, Omer Refik Inan","doi":"10.26524/jms.12.40","DOIUrl":null,"url":null,"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.","PeriodicalId":37730,"journal":{"name":"Journal of Management Information and Decision Science","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Management Information and Decision Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.26524/jms.12.40","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Decision Sciences","Score":null,"Total":0}
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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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。
求助全文
约1分钟内获得全文 去求助
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.
期刊最新文献
Role of artificial intelligence in banking and finance Global crises and inflation dynamics in Nigeria Cooperatives and the capabilities of the poor Managing the supply chain disruption of essential commodities supply in health care systems during emergency Lagos state, Nigeria Issues in use of web-based information resources by public polytechnic students in southwestern Nigeria
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1