A Study of the Psychological Resilience of the Elderly Based on the Artificial Neural Network

Chang Song; Yoshito Ogata; Jia He

doi:10.1109/IMCEC.2018.8469633

A Study of the Psychological Resilience of the Elderly Based on the Artificial Neural Network

Chang Song, Yoshito Ogata, Jia He

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

Abstract

Based on the theory of Artificial Neural Network, the psychological resilience of the elderly was formed using the content analysis method, and 105 persons were chosen as the experimental samples, the psychological resilience analysis was done through literature review and questionnaire. Referring to the American behavioral expert (Connor - Davidson)'s resilience questionnaires, questionnaires were distributed in papers and online among the elderly. Statistical software SPSS was used to conduct the statistical analysis, and differences in resilience were investigated in detail. Afterwards, the BP Artificial Neural Network model was established by Matlab based on the questionnaire results, and the psychological resilience of the elderly was generated on the basis of BP Artificial Neural Network model. In this study, the emotional demands on the psychological resilience of the elderly were constructed, and experiments and statistical analysis were carried out, which would lay a solid foundation for the study of the psychological resilience in theory and method.

Original language	English
Title of host publication	Proceedings of 2018 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018
Editors	Bing Xu
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2119-2123
Number of pages	5
ISBN (Electronic)	9781538618035
DOIs	https://doi.org/10.1109/IMCEC.2018.8469633
Publication status	Published - Sept 20 2018
Event	2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018 - Xi'an, China Duration: May 25 2018 → May 27 2018

Publication series

Name	Proceedings of 2018 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018

Other

Other	2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018
Country/Territory	China
City	Xi'an
Period	5/25/18 → 5/27/18

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Information Systems and Management
Electrical and Electronic Engineering
Control and Optimization

Access to Document

10.1109/IMCEC.2018.8469633

Cite this

Song, C., Ogata, Y., & He, J. (2018). A Study of the Psychological Resilience of the Elderly Based on the Artificial Neural Network. In B. Xu (Ed.), Proceedings of 2018 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018 (pp. 2119-2123). [8469633] (Proceedings of 2018 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IMCEC.2018.8469633

A Study of the Psychological Resilience of the Elderly Based on the Artificial Neural Network. / Song, Chang; Ogata, Yoshito; He, Jia.

Proceedings of 2018 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018. ed. / Bing Xu. Institute of Electrical and Electronics Engineers Inc., 2018. p. 2119-2123 8469633 (Proceedings of 2018 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018).

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

Song, C, Ogata, Y & He, J 2018, A Study of the Psychological Resilience of the Elderly Based on the Artificial Neural Network. in B Xu (ed.), Proceedings of 2018 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018., 8469633, Proceedings of 2018 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018, Institute of Electrical and Electronics Engineers Inc., pp. 2119-2123, 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018, Xi'an, China, 5/25/18. https://doi.org/10.1109/IMCEC.2018.8469633

Song C, Ogata Y, He J. A Study of the Psychological Resilience of the Elderly Based on the Artificial Neural Network. In Xu B, editor, Proceedings of 2018 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 2119-2123. 8469633. (Proceedings of 2018 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018). doi: 10.1109/IMCEC.2018.8469633

Song, Chang ; Ogata, Yoshito ; He, Jia. / A Study of the Psychological Resilience of the Elderly Based on the Artificial Neural Network. Proceedings of 2018 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018. editor / Bing Xu. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 2119-2123 (Proceedings of 2018 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018).

@inproceedings{827960d357d5470bbd301190a003c1c1,

title = "A Study of the Psychological Resilience of the Elderly Based on the Artificial Neural Network",

abstract = "Based on the theory of Artificial Neural Network, the psychological resilience of the elderly was formed using the content analysis method, and 105 persons were chosen as the experimental samples, the psychological resilience analysis was done through literature review and questionnaire. Referring to the American behavioral expert (Connor - Davidson)'s resilience questionnaires, questionnaires were distributed in papers and online among the elderly. Statistical software SPSS was used to conduct the statistical analysis, and differences in resilience were investigated in detail. Afterwards, the BP Artificial Neural Network model was established by Matlab based on the questionnaire results, and the psychological resilience of the elderly was generated on the basis of BP Artificial Neural Network model. In this study, the emotional demands on the psychological resilience of the elderly were constructed, and experiments and statistical analysis were carried out, which would lay a solid foundation for the study of the psychological resilience in theory and method.",

author = "Chang Song and Yoshito Ogata and Jia He",

note = "Funding Information: ACKNOWLEDGMENT Supported by China Scholarship Council (CSC). Publisher Copyright: {\textcopyright} 2018 IEEE.; 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018 ; Conference date: 25-05-2018 Through 27-05-2018",

year = "2018",

month = sep,

day = "20",

doi = "10.1109/IMCEC.2018.8469633",

language = "English",

series = "Proceedings of 2018 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "2119--2123",

editor = "Bing Xu",

booktitle = "Proceedings of 2018 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018",

address = "United States",

}

TY - GEN

T1 - A Study of the Psychological Resilience of the Elderly Based on the Artificial Neural Network

AU - Song, Chang

AU - Ogata, Yoshito

AU - He, Jia

PY - 2018/9/20

Y1 - 2018/9/20

N2 - Based on the theory of Artificial Neural Network, the psychological resilience of the elderly was formed using the content analysis method, and 105 persons were chosen as the experimental samples, the psychological resilience analysis was done through literature review and questionnaire. Referring to the American behavioral expert (Connor - Davidson)'s resilience questionnaires, questionnaires were distributed in papers and online among the elderly. Statistical software SPSS was used to conduct the statistical analysis, and differences in resilience were investigated in detail. Afterwards, the BP Artificial Neural Network model was established by Matlab based on the questionnaire results, and the psychological resilience of the elderly was generated on the basis of BP Artificial Neural Network model. In this study, the emotional demands on the psychological resilience of the elderly were constructed, and experiments and statistical analysis were carried out, which would lay a solid foundation for the study of the psychological resilience in theory and method.

AB - Based on the theory of Artificial Neural Network, the psychological resilience of the elderly was formed using the content analysis method, and 105 persons were chosen as the experimental samples, the psychological resilience analysis was done through literature review and questionnaire. Referring to the American behavioral expert (Connor - Davidson)'s resilience questionnaires, questionnaires were distributed in papers and online among the elderly. Statistical software SPSS was used to conduct the statistical analysis, and differences in resilience were investigated in detail. Afterwards, the BP Artificial Neural Network model was established by Matlab based on the questionnaire results, and the psychological resilience of the elderly was generated on the basis of BP Artificial Neural Network model. In this study, the emotional demands on the psychological resilience of the elderly were constructed, and experiments and statistical analysis were carried out, which would lay a solid foundation for the study of the psychological resilience in theory and method.

UR - http://www.scopus.com/inward/record.url?scp=85055702859&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85055702859&partnerID=8YFLogxK

U2 - 10.1109/IMCEC.2018.8469633

DO - 10.1109/IMCEC.2018.8469633

M3 - Conference contribution

AN - SCOPUS:85055702859

T3 - Proceedings of 2018 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018

SP - 2119

EP - 2123

BT - Proceedings of 2018 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018

A2 - Xu, Bing

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018

Y2 - 25 May 2018 through 27 May 2018

ER -

A Study of the Psychological Resilience of the Elderly Based on the Artificial Neural Network

Abstract

Publication series

Other

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this