Artificial neural networks: a powerful tool for cognitive science

Mohammad (Behdad)  Jamshidi; Neda  Alibeigi; Nahid  Rabbani; Bahareh Oryani; Ali Lalbakhsh

doi:10.1109/IEMCON.2018.8615039

Artificial neural networks: a powerful tool for cognitive science

Mohammad (Behdad) Jamshidi, Neda Alibeigi, Nahid Rabbani , Bahareh Oryani, Ali Lalbakhsh

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

20 Citations (Scopus)

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.

Original language	English
Title of host publication	2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)
Editors	Satyajit Chakrabarti, Himadri Nath Saha
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	674-679
Number of pages	6
ISBN (Electronic)	9781538672662, 9781538672655
ISBN (Print)	9781538672679
DOIs	https://doi.org/10.1109/IEMCON.2018.8615039
Publication status	Published - 2018
Externally published	Yes
Event	IEEE Annual Information Technology, Electronics and Mobile Communication Conference (9th : 2018) - Vancouver, Canada Duration: 1 Nov 2018 → 3 Nov 2018 Conference number: 9th

Conference

Conference	IEEE Annual Information Technology, Electronics and Mobile Communication Conference (9th : 2018)
Abbreviated title	IEMCON
Country/Territory	Canada
City	Vancouver
Period	1/11/18 → 3/11/18

Keywords

Artificial neural network
computational intelligence
cognitive science
cognitive psychology
MATLAB

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10.1109/IEMCON.2018.8615039

Cite this

Jamshidi, M., Alibeigi, N., Rabbani , N., Oryani, B., & Lalbakhsh, A. (2018). Artificial neural networks: a powerful tool for cognitive science. In S. Chakrabarti, & H. N. Saha (Eds.), 2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) (pp. 674-679). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/IEMCON.2018.8615039

Jamshidi, Mohammad (Behdad) ; Alibeigi, Neda ; Rabbani , Nahid et al. / Artificial neural networks : a powerful tool for cognitive science. 2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON). editor / Satyajit Chakrabarti ; Himadri Nath Saha. Piscataway, NJ : Institute of Electrical and Electronics Engineers (IEEE), 2018. pp. 674-679

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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.",

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author = "Jamshidi, {Mohammad (Behdad)} and Neda Alibeigi and Nahid Rabbani and Bahareh Oryani and Ali Lalbakhsh",

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publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

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note = "IEEE Annual Information Technology, Electronics and Mobile Communication Conference (9th : 2018), IEMCON ; Conference date: 01-11-2018 Through 03-11-2018",

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Jamshidi, M, Alibeigi, N, Rabbani , N, Oryani, B & Lalbakhsh, A 2018, Artificial neural networks: a powerful tool for cognitive science. in S Chakrabarti & HN Saha (eds), 2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON). Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 674-679, IEEE Annual Information Technology, Electronics and Mobile Communication Conference (9th : 2018), Vancouver, British Columbia, Canada, 1/11/18. https://doi.org/10.1109/IEMCON.2018.8615039

Artificial neural networks: a powerful tool for cognitive science. / Jamshidi, Mohammad (Behdad) ; Alibeigi, Neda ; Rabbani , Nahid et al.
2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON). ed. / Satyajit Chakrabarti; Himadri Nath Saha. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2018. p. 674-679.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

TY - GEN

T1 - Artificial neural networks

T2 - IEEE Annual Information Technology, Electronics and Mobile Communication Conference (9th : 2018)

AU - Jamshidi, Mohammad (Behdad)

AU - Alibeigi, Neda

AU - Rabbani , Nahid

AU - Oryani, Bahareh

AU - Lalbakhsh, Ali

N1 - Conference code: 9th

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

KW - Artificial neural network

KW - computational intelligence

KW - cognitive science

KW - cognitive psychology

KW - MATLAB

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U2 - 10.1109/IEMCON.2018.8615039

DO - 10.1109/IEMCON.2018.8615039

M3 - Conference proceeding contribution

SN - 9781538672679

SP - 674

EP - 679

BT - 2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)

A2 - Chakrabarti, Satyajit

A2 - Saha, Himadri Nath

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Piscataway, NJ

Y2 - 1 November 2018 through 3 November 2018

ER -

Jamshidi M, Alibeigi N, Rabbani N, Oryani B, Lalbakhsh A. Artificial neural networks: a powerful tool for cognitive science. In Chakrabarti S, Saha HN, editors, 2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). 2018. p. 674-679 doi: 10.1109/IEMCON.2018.8615039

Artificial neural networks: a powerful tool for cognitive science

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