Fuzzy logic based parameter adjustment model for adaptive decayed brain emotional learning network with application to online time series prediction

Houssen S.A. Milad; Umar Farooq; Mohamed E. El-Hawary; Valentina E. Balas; Muhammad Usman Asad

doi:10.1109/EPEC.2017.8286155

Fuzzy logic based parameter adjustment model for adaptive decayed brain emotional learning network with application to online time series prediction

Houssen S.A. Milad, Umar Farooq, Mohamed E. El-Hawary, Valentina E. Balas, Muhammad Usman Asad

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

Original language	English
Title of host publication	2017 IEEE Electrical Power and Energy Conference, EPEC 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-6
Number of pages	6
ISBN (Electronic)	9781538608173
DOIs	https://doi.org/10.1109/EPEC.2017.8286155
Publication status	Published - Jul 2 2017
Event	2017 IEEE Electrical Power and Energy Conference, EPEC 2017 - Saskatoon, Canada Duration: Oct 22 2017 → Oct 25 2017

Publication series

Name	2017 IEEE Electrical Power and Energy Conference, EPEC 2017
Volume	2017-October

Conference

Conference	2017 IEEE Electrical Power and Energy Conference, EPEC 2017
Country/Territory	Canada
City	Saskatoon
Period	10/22/17 → 10/25/17

ASJC Scopus Subject Areas

Energy Engineering and Power Technology
Electrical and Electronic Engineering
Renewable Energy, Sustainability and the Environment

Keywords

Brain emotional decayed learning
MATLAB
fuzzy logic
online time series prediction

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/EPEC.2017.8286155

Cite this

Milad, H. S. A., Farooq, U., El-Hawary, M. E., Balas, V. E., & Asad, M. U. (2017). Fuzzy logic based parameter adjustment model for adaptive decayed brain emotional learning network with application to online time series prediction. In 2017 IEEE Electrical Power and Energy Conference, EPEC 2017 (pp. 1-6). (2017 IEEE Electrical Power and Energy Conference, EPEC 2017; Vol. 2017-October). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EPEC.2017.8286155

Fuzzy logic based parameter adjustment model for adaptive decayed brain emotional learning network with application to online time series prediction. / Milad, Houssen S.A.; Farooq, Umar ; El-Hawary, Mohamed E. et al.
2017 IEEE Electrical Power and Energy Conference, EPEC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1-6 (2017 IEEE Electrical Power and Energy Conference, EPEC 2017; Vol. 2017-October).

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

Milad, HSA, Farooq, U , El-Hawary, ME, Balas, VE & Asad, MU 2017, Fuzzy logic based parameter adjustment model for adaptive decayed brain emotional learning network with application to online time series prediction. in 2017 IEEE Electrical Power and Energy Conference, EPEC 2017. 2017 IEEE Electrical Power and Energy Conference, EPEC 2017, vol. 2017-October, Institute of Electrical and Electronics Engineers Inc., pp. 1-6, 2017 IEEE Electrical Power and Energy Conference, EPEC 2017, Saskatoon, Canada, 10/22/17. https://doi.org/10.1109/EPEC.2017.8286155

Milad HSA, Farooq U , El-Hawary ME, Balas VE, Asad MU. Fuzzy logic based parameter adjustment model for adaptive decayed brain emotional learning network with application to online time series prediction. In 2017 IEEE Electrical Power and Energy Conference, EPEC 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1-6. (2017 IEEE Electrical Power and Energy Conference, EPEC 2017). doi: 10.1109/EPEC.2017.8286155

Milad, Houssen S.A. ; Farooq, Umar ; El-Hawary, Mohamed E. et al. / Fuzzy logic based parameter adjustment model for adaptive decayed brain emotional learning network with application to online time series prediction. 2017 IEEE Electrical Power and Energy Conference, EPEC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 1-6 (2017 IEEE Electrical Power and Energy Conference, EPEC 2017).

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Fuzzy logic based parameter adjustment model for adaptive decayed brain emotional learning network with application to online time series prediction

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

UN SDGs

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