System identification of PEM fuel cells using an improved Elman neural network and a new hybrid optimization algorithm
Dongmin Yu,Dongmin Yu,Yong Wang,Yong Wang,Huanan Liu,Huanan Liu,Kittisak Jermsittiparsert,Navid Razmjooy +7 more
TLDR
An optimized improved Elman neural network based on a new hybrid optimization algorithm is proposed for increasing their efficiency in the next designs of the proton exchange membrane fuel cell.About:
This article is published in Energy Reports.The article was published on 2019-11-01 and is currently open access. It has received 132 citations till now. The article focuses on the topics: Hybrid algorithm & System identification.read more
Citations
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Business to Business ecommerce and role of Knowledge Management
Muh Fahrurrozi,J F X Susanto Soekiman,Antonius Philipus Kurniawan Gheta,Yayan Sudaryana,T. Husain +4 more
TL;DR: In this article, the authors take into account the know-how control components of e-exchange, and boast that information control is an crucial a neighbourhood of the tool's competencies, and present an thorough speak of the way the three essential records control capabilities (introduction, switch and alertness) happen in numerous elements of the device.
Journal ArticleDOI
Chaotic Jaya Optimization Algorithm With Computer Vision-Based Soil Type Classification for Smart Farming
Hussain Alshahrani,Hend K. Alkahtani,Khalid Mahmood,Mofadal Alymani,Gouse Pasha Mohammed,Amgad Atta Abdelmageed,Sitelbanat Abdelbagi,Suhanda Drar +7 more
TL;DR: In this article , a Chaotic Jaya Optimization Algorithm with Computer Vision based Soil Type Classification (CJOCV-STC) for smart farming is presented.
Journal ArticleDOI
Reversible multiplier with a column-wise structure and a reduced number of ancilla inputs and garbage outputs
TL;DR: The number of blocks of the structure presented in this paper for a reversible multiplier is significantly reduced compared to existing designs, and the number of ancilla inputs and garbage outputs in each of these blocks is minimized.
Journal ArticleDOI
A survey on parameters estimation of the proton exchange membrane fuel cells based on the swarm-inspired optimization algorithms
TL;DR: In this paper , the authors review various swarm-inspired optimization algorithms to discuss the significance of some established works in this area and investigate PEMFC model parameters estimation methods with a focus on online identification algorithms, which are thought of as the foundation of designing a global energy management strategy.
Journal ArticleDOI
Brain tumor diagnosis from MRI based on Amended Water Strider Algorithm.
TL;DR: A new automatic methodology has been introduced for the efficient diagnosis of brain tumors from MRI based on a newly modified design of a metaheuristic, called the Amended Water Strider Algorithm.
References
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The Whale Optimization Algorithm
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On genetic algorithms
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Polymer Electrolyte Fuel Cell Model
TL;DR: In this paper, an isothermal, one-dimensional, steady-state model for a complete polymer electrolyte fuel cell (PEFC) with a 117 Nation | membrane is presented, which predicts an increase in membrane resistance with increased current density and demonstrates the great advantage of a thinner membrane in alleviating this resistance problem.