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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Random following ant colony optimization: Continuous and binary variants for global optimization and feature selection
TL;DR: In this paper , a random following strategy is proposed to enhance communication among the ant colony search agent and other ant colony members within the search dimension, which is called Random Following Ant Colony Optimization.
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Optimized Neural Network for Research Evaluation of Mineral Resources Carrying Capacity in Southern Shaanxi
Li YiCan,Wei Junhao,Ali Arshaghi +2 more
TL;DR: Based on analyzing metallogenic geological characteristics, distribution, and resource status of mineral resources in southern Shaanxi, this paper established an analysis model based on the analytic hierarchy process and applied them to evaluate the advantages of mineral resource.
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Network Security Prediction and Situational Assessment Using Neural Network-based Method
Liu Fang Zhang,Yanyu Liu +1 more
TL;DR: Wang et al. as discussed by the authors proposed a network security monitoring tool based on situation assessment and prediction to assist network security construction, the framework of the evaluation module is based on convolution neural network.
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A Study on the Construction of a Nuclear Safety Standards Integrated Management System in the Republic of Korea
TL;DR: In this paper , the strengths and weaknesses of similar systems at home and abroad, in relation to the development and management of safety standards, are investigated and suggested ways to improve the current domestic nuclear safety standards management.
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Full Feedback Dynamic Neural Network with Exogenous Inputs for Dynamic Data‐Driven Modeling in Nonlinear Dynamic Power Systems
Zhenhui Zhang,Zhengjiang Zhang Zhengjiang Zhang,Sheng Zhao,Zhihui Hong,Shipei Huang,Quanfang Li +5 more
TL;DR: In this article , the authors proposed a full feedback dynamic neural network (FF•DNN) with exogenous input, and compared eight different kinds of neural networks (including ENN, NARX, etc.) with different structure feedback structures.
References
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Journal ArticleDOI
The Whale Optimization Algorithm
Seyedali Mirjalili,Andrew Lewis +1 more
TL;DR: Optimization results prove that the WOA algorithm is very competitive compared to the state-of-art meta-heuristic algorithms as well as conventional methods.
Journal ArticleDOI
A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm
Dervis Karaboga,Bahriye Basturk +1 more
TL;DR: Artificial Bee Colony (ABC) Algorithm is an optimization algorithm based on the intelligent behaviour of honey bee swarm that is used for optimizing multivariable functions and the results showed that ABC outperforms the other algorithms.
Proceedings ArticleDOI
On genetic algorithms
TL;DR: C Culling is near optimal for this problem, highly noise tolerant, and the best known a~~roach in some regimes, and some new large deviation bounds on this submartingale enable us to determine the running time of the algorithm.
Journal ArticleDOI
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.