M. Jamshidi, N. Alibeigi, Nahid Rabbani, Bahareh Oryani, A. Lalbakhsh
{"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}
引用次数: 17
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.