Artificial Neural Networks: A Powerful Tool for Cognitive Science

被引：0

作者：

Jamshidi, Mohammad ^{[1
]}

Alibeigi, Neda ^{[2
]}

Rabbani, Nahid ^{[3
]}

Oryani, Bahareh ^{[4
]}

Lalbakhsh, Ali ^{[5
]}

机构：

[1] Islamic Azad Univ, Young Researchers & Elite Club, Kermanshah Branch, Kermanshah, Iran

[2] Islamic Azad Univ, Dept Elect Engn, West Tehran Branch, Tehran, Iran

[3] Islamic Azad Univ, Dept Sociol, Ashtian Branch, Ashtian, Iran

[4] Seoul Natl Univ, Dept Engn, Seoul, South Korea

[5] Islamic Azad Univ, Dept Elect Engn, Kermanshah Branch, Kermanshah, Iran

来源：

2018 IEEE 9TH ANNUAL INFORMATION TECHNOLOGY, ELECTRONICS AND MOBILE COMMUNICATION CONFERENCE (IEMCON) | 2018年

关键词：

Artificial neural network; computational intelligence; cognitive science; cognitive psychology; MATLAB; OPTIMIZATION;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：674 / 679

页数：6

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