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Xiaoyu Liu and Xiang Zhang
In order to enhance the accuracy of the traditional extended Kalman filter (EKF) algorithm in the estimation of the state of charge (SoC) of power batteries, we first derived the state space equation and measurement equation of lithium power batteries ba...
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Magda M. Abou El-Safa, Salah Elsayed, Osama Elsherbiny, Adel H. Elmetwalli, Mohamed Gad, Farahat S. Moghanm, Ebrahem M. Eid, Mostafa A. Taher, Mohamed H. E. El-Morsy, Hanan E. M. Osman and Ali H. Saleh
Coastal environmental assessment techniques have evolved into one of the most important fields for the long-term development and management of coastal zones. So, the overall aim of the present investigation was to provide effective approaches for making ...
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Wen-Chin Chen, Pao-Wen Lin, Shi-Bo Lin, Kuan-Ming Lin, Yun-Ru Chang
Pág. 211 - 221
This research integrates the Taguchi method, analysis of variables (ANOVA), back-propagation neural networks (BPNN), and hybrid PSO-GA to develop an intelligent optimization system of micro electroforming process for the mesh filter. From the outset of d...
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Jittiphong Klomjit and Atthapol Ngaopitakkul
This research proposes a comparison study on different artificial intelligence (AI) methods for classifying faults in hybrid transmission line systems. The 115-kV hybrid transmission line in the Provincial Electricity Authority (PEA-Thailand) system, whi...
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Chih-Chiang Wei, Po-Chun Peng, Cheng-Han Tsai and Chien-Lin Huang
Taiwan is located on a route where typhoons often strike. Each year, the strong winds accompanying typhoons are a substantial threat and cause significant damage. However, because the terrains of high mountains in Taiwan vary greatly, when a typhoon pass...
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You-Da Jhong, Chang-Shian Chen, Hsin-Ping Lin and Shien-Tsung Chen
This study proposed a hybrid neural network model that combines a self-organizing map (SOM) and back-propagation neural networks (BPNNs) to model the rainfall-runoff process in a physically interpretable manner and to accurately forecast typhoon floods. ...
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