人工神经网络:认知科学的强大工具

M. Jamshidi, N. Alibeigi, Nahid Rabbani, Bahareh Oryani, A. Lalbakhsh
{"title":"人工神经网络:认知科学的强大工具","authors":"M. Jamshidi, N. Alibeigi, Nahid Rabbani, Bahareh Oryani, A. Lalbakhsh","doi":"10.1109/IEMCON.2018.8615039","DOIUrl":null,"url":null,"abstract":"Recently, using the statistical methods for analysis of humans' relationships has experienced a dramatic growth by psychologists. Although, surveying such complex concepts is considered as a difficult calculation by mathematical or statistical methods, computational intelligence-based approaches are able to examine any kinds of complex functions. In this paper, a practical approach based on Artificial Neural Networks (ANN) as a helpful tool to analyze data in the field of cognitive psychology is demonstrated. To illustrate the proposed method, a psychology problem based on 5 questionnaires was designed and each of questionnaires was filled randomly by MATLAB. The errors of the network are shown by surface function, verifying the reliability of the proposed method.","PeriodicalId":368939,"journal":{"name":"2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":"{\"title\":\"Artificial Neural Networks: A Powerful Tool for Cognitive Science\",\"authors\":\"M. Jamshidi, N. Alibeigi, Nahid Rabbani, Bahareh Oryani, A. Lalbakhsh\",\"doi\":\"10.1109/IEMCON.2018.8615039\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recently, using the statistical methods for analysis of humans' relationships has experienced a dramatic growth by psychologists. Although, surveying such complex concepts is considered as a difficult calculation by mathematical or statistical methods, computational intelligence-based approaches are able to examine any kinds of complex functions. In this paper, a practical approach based on Artificial Neural Networks (ANN) as a helpful tool to analyze data in the field of cognitive psychology is demonstrated. To illustrate the proposed method, a psychology problem based on 5 questionnaires was designed and each of questionnaires was filled randomly by MATLAB. The errors of the network are shown by surface function, verifying the reliability of the proposed method.\",\"PeriodicalId\":368939,\"journal\":{\"name\":\"2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEMCON.2018.8615039\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEMCON.2018.8615039","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 17

摘要

近年来,心理学家运用统计方法分析人际关系的研究有了显著的发展。尽管测量这些复杂的概念被认为是用数学或统计方法难以计算的,但基于计算智能的方法能够检查任何类型的复杂函数。本文提出了一种基于人工神经网络(ANN)的认知心理学数据分析方法。为了说明所提出的方法,设计了一个基于5份问卷的心理问题,并通过MATLAB随机填写问卷。用曲面函数表示了网络的误差,验证了所提方法的可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial Neural Networks: A Powerful Tool for Cognitive Science
Recently, using the statistical methods for analysis of humans' relationships has experienced a dramatic growth by psychologists. Although, surveying such complex concepts is considered as a difficult calculation by mathematical or statistical methods, computational intelligence-based approaches are able to examine any kinds of complex functions. In this paper, a practical approach based on Artificial Neural Networks (ANN) as a helpful tool to analyze data in the field of cognitive psychology is demonstrated. To illustrate the proposed method, a psychology problem based on 5 questionnaires was designed and each of questionnaires was filled randomly by MATLAB. The errors of the network are shown by surface function, verifying the reliability of the proposed method.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信