Subject Areas : journal of Artificial Intelligence in Electrical Engineering
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Keywords:
Abstract :
References:
[1] M. Khodadadi, “Prediction of earthquake damage degree with fuzzy system,” Proc. of the 1th Conf. National the Application of New Technologies in Civil Engineering, pp. 1-6, 2024.
[2] A. Pandit1, K. Ch. Biswal, “Prediction of earthquake magnitude using adaptive neuro fuzzy inference system,” Earth Science Informatics, vol. 12, no. 4, pp. 513-524, 2019.
[3] S. A. Allali, M. Abed, A. Mebarki, “Post-earthquake assessment of buildings damage using fuzzy logic,” Engineering Structures, vol. 166, pp. 117-127, 2018.
[4] Gh. Keyvanihafshejani, Gh. Ghodratiamiri, “Shahrekord earthquake risk assessment by neuro-fuzzy way method using seismic evaluation of structures,” Amirkabir Journal of Civil Engineering, vol. 53, no.1, pp. 297-312, 2021.
[5] De. Lautour, O. Richard, P. Omenzetter, “Prediction of seismic-induced structural damage using artificial neural networks,” Engineering Structures, vol. 31, no. 2, pp. 600-606, 2018.
[6] G. G. Tiruneha, A. R. Fayekb, V. Sumatic, Neuro-fuzzy systems in construction engineering and management research, Automation in Construction, vol.199, pp. 103-348, 2021.
[7] N. Bartoletti, F. Casagli, S. Marsili-Libelli, A. Nardi, L. Palandri, “Data-driven rainfall/runoff modelling based on a neuro-fuzzy inference system,” Environmental Modelling & Software, vol. 106, pp. 35-47, 2018.
[8] S. Mohanaselvi, G. Hemapriya, “Application of fuzzy logic to earthquake damage predictions,” Proc. of the 11th. conf. Mathematical Techniques and Applications, pp. 020043-1–020043-10, 2019.
[9] M. Khodadadi, H. Shayanfar, K. Maghooli, and A. H. Mazinan, “Fuzzy cognitive map based approach for determining the risk of ischemic stroke,” IET System Biology, vol. 13, no. 6, pp. 297-304, 2019.
[10] K. Rogulj, J. K. Pamuković, N. Jajac, “Knowledge-based fuzzy expert system to the condition assessment of historic road bridges,” Applied Sciences, vol. 13, no. 18, pp. 10-21, 2021.
[11] Zabah, Z. Koohjani, A. Maroosi, K. Layeghi, “Diagnosis of coronary artery disease using neuro-fuzzy-based method,” Journal of Torbat Heydariyeh University of Medical Sciences, vol. 6, no. 3, pp.48-59, 2018.
[1] M. Khodadadi, “Prediction of earthquake damage degree with fuzzy system,” Proc. of the 1th Conf. National the Application of New Technologies in Civil Engineering, pp. 1-6, 2024.
[2] A. Pandit1, K. Ch. Biswal, “Prediction of earthquake magnitude using adaptive neuro fuzzy inference system,” Earth Science Informatics, vol. 12, no. 4, pp. 513-524, 2019.
[3] S. A. Allali, M. Abed, A. Mebarki, “Post-earthquake assessment of buildings damage using fuzzy logic,” Engineering Structures, vol. 166, pp. 117-127, 2018.
[4] Gh. Keyvanihafshejani, Gh. Ghodratiamiri, “Shahrekord earthquake risk assessment by neuro-fuzzy way method using seismic evaluation of structures,” Amirkabir Journal of Civil Engineering, vol. 53, no.1, pp. 297-312, 2021.
[5] De. Lautour, O. Richard, P. Omenzetter, “Prediction of seismic-induced structural damage using artificial neural networks,” Engineering Structures, vol. 31, no. 2, pp. 600-606, 2018.
[6] G. G. Tiruneha, A. R. Fayekb, V. Sumatic, Neuro-fuzzy systems in construction engineering and management research, Automation in Construction, vol.199, pp. 103-348, 2021.
[7] N. Bartoletti, F. Casagli, S. Marsili-Libelli, A. Nardi, L. Palandri, “Data-driven rainfall/runoff modelling based on a neuro-fuzzy inference system,” Environmental Modelling & Software, vol. 106, pp. 35-47, 2018.
[8] S. Mohanaselvi, G. Hemapriya, “Application of fuzzy logic to earthquake damage predictions,” Proc. of the 11th. conf. Mathematical Techniques and Applications, pp. 020043-1–020043-10, 2019.
[9] M. Khodadadi, H. Shayanfar, K. Maghooli, and A. H. Mazinan, “Fuzzy cognitive map based approach for determining the risk of ischemic stroke,” IET System Biology, vol. 13, no. 6, pp. 297-304, 2019.
[10] K. Rogulj, J. K. Pamuković, N. Jajac, “Knowledge-based fuzzy expert system to the condition assessment of historic road bridges,” Applied Sciences, vol. 13, no. 18, pp. 10-21, 2021.
[11] Zabah, Z. Koohjani, A. Maroosi, K. Layeghi, “Diagnosis of coronary artery disease using neuro-fuzzy-based method,” Journal of Torbat Heydariyeh University of Medical Sciences, vol. 6, no. 3, pp.48-59, 2018.
