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Corrigendum: Real-time prediction of metacentric height of ro-ro passenger ships in Qiongzhou strait based on improved RBF neural network [Ocean Eng. 312 (3) 15 November (2024), 119067] (Ocean Engineering (2024) 312(P3), (S0029801824024053), (10.1016/j.oceaneng.2024.119067))  ( EI收录)  

文献类型:期刊文献

英文题名:Corrigendum: Real-time prediction of metacentric height of ro-ro passenger ships in Qiongzhou strait based on improved RBF neural network [Ocean Eng. 312 (3) 15 November (2024), 119067] (Ocean Engineering (2024) 312(P3), (S0029801824024053), (10.1016/j.oceaneng.2024.119067))

作者:Wang, Lijun[1]; Liao, Shenghao[1]; Wang, Sisi[1]; Jia, Baozhu[2]; Yin, Jianchuan[2]; Li, Ronghui[2]

机构:[1] Naval Architecture and Shipping College, Guangdong Ocean University, Zhanjiang, 524088, China; [2] Guangdong Provincial Key Laboratory of Intelligent Equipment for South China Sea Marine Ranching, Guangdong Ocean University, Zhanjiang, 524088, China

年份:2024

卷号:312

外文期刊名:Ocean Engineering

收录:EI(收录号:20244317240207)、Scopus(收录号:2-s2.0-85206658411)

语种:英文

外文摘要:The author regrets that the threshold value for the Grey Correlation Degree of Combination 2 in the section titled "5.1. Network input layer selection" and in Table 3 was incorrectly stated. Corrections have now been made, and these will not have a significant impact on the overall results and conclusions of the paper. We wish to assure readers that the revised threshold value for the Grey Correlation Degree will not alter the interpretation or validity of the study. The revised threshold descriptions in the "5.1. Network input layer selection" section are as follows: Combination 1 includes all preselected influencing factors, Combination 2 includes factors with grey relational degrees between 0.6 and 1, and Combination 3 includes factors with grey relational degrees between 0.8 and 1. The revised Table 3 is as follows: [Table presented] The authors would like to apologise for any inconvenience caused. ? 2024 The Author(s)

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