The Study of Safety of Ships’ Setting Sail Assessment Based on RBF Neural Network

Aoming Zhang, Haiyan Xie, Qinwen Cao
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Abstract

Based on the actual cases of ships’ sailing safety accident, this paper analyzes the factors affecting the safety of ships’ setting sail and establishes a safety evaluating system. Then the RBF neural network model is established on the security evaluation system and compared with the BP network model. The experimental results show that the RBF neural network model is more advantageous in the research of ships’ sailing safety evaluation.
基于RBF神经网络的船舶启航安全评估研究
本文结合船舶航行安全事故的实际案例,分析了影响船舶航行安全的因素,建立了船舶航行安全评价体系。然后在安全评价系统上建立RBF神经网络模型,并与BP网络模型进行比较。实验结果表明,RBF神经网络模型在船舶航行安全评价研究中更具有优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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