Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Melika Hamian"'
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-21 (2024)
Abstract The challenge of supervised learning in spiking neural networks (SNNs) for digit classification from speech signals is examined in this study. Meta-heuristic algorithms and a fuzzy logic framework are used to train SNNs. Using gray wolf opti
Externí odkaz:
https://doaj.org/article/5f2d0633a8de42bc9df18eb67a437c56
Autor:
Melika Hamian, Shi Wang
Publikováno v:
Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience, Vol 2021 (2021)
Computational Intelligence and Neuroscience, Vol 2021 (2021)
Melanoma is defined as a disease that has been incurable in advanced stages, which shows the vital importance of timely diagnosis and treatment. To diagnose this type of cancer early, various methods and equipment have been used, almost all of which
Autor:
Milad Janghorban Lariche, Melika Hamian, Mehdi Hosseinzadeh, Alireza Nouri, Ayda Darvishan, Noradin Ghadimi
Publikováno v:
Engineering Applications of Artificial Intelligence. 72:203-212
In this paper, a methodology has been proposed to decrease the solution time of the joint energy-reserve market clearing problem under Payment Cost Minimization (PCM) mechanism. PCM mechanism is recently proposed to replace the available economically
Autor:
Mohammad Reza Parsaei, Melika Hamian, Reza Safdari, Taha Samad-Soltani, Armin Nabaei, A. Ghassemi, Houman Zarrabi
Publikováno v:
Artificial Intelligence Review. 49:79-103
Recently, optimization makes an important role in our day-to-day life. Evolutionary and population-based optimization algorithms are widely employed in several of engineering areas. The design of an optimization algorithm is a challenging endeavor ca
Publikováno v:
2016 International Symposium on Fundamentals of Electrical Engineering (ISFEE).
Power loss in current power distribution systems is of critical importance and greatly influences sizing of electric devices. In this paper, four types of wind turbines (WTs) are evaluated and simulated on IEEE 33-bus test system using ETAP software: