| 基于神经网络的FSC检查选船模型研究 |
| |
| 引用本文： | 魏栋,陈露玲,曾青山,邱华赞. 基于神经网络的FSC检查选船模型研究[J]. 中国海事, 2010, 0(8): 43-46 |
| |
| 作者姓名： | 魏栋 陈露玲 曾青山 邱华赞 |
| |
| 作者单位： | 厦门海事局,福建厦门,361000 |
| |
| 摘 要： | 我国FSC检查的目标船目前主要由人工方式来确定,存在很大的盲目性和随意性。为了提高FSC检查目标船选择的合理性,文中分析了船舶的主要风险因素,并结合BP神经网络建立了FSC检查选船模型,最后通过实例验证了所建立模型的实用性。
|
| 关 键 词： | BP网络 选船 建模 |
Research on modeling of ship selection for FSC inspection based on neural network |
| |
| WEI Dong,CHEN Lu-ling,ZENG Qing-shan,QIU Hua-zan. Research on modeling of ship selection for FSC inspection based on neural network[J]. Maritime Safety, 2010, 0(8): 43-46 |
| |
| Authors: | WEI Dong CHEN Lu-ling ZENG Qing-shan QIU Hua-zan |
| |
| Affiliation: | (Xiamen MSA, Xianmen, Fujian 361000, China ) |
| |
| Abstract: | Ships selected for FSC inspection in our country are mainly decided by manual work. This is often largely blind and random. In order to improve the rationality of ship selection for FSC inspection, this paper analyzes the main risk factors of ships and introduces the BP neural network in setting up the modal of ship selection for FSC inspection. In the end, the practicability of the model is validated by the actual example. |
| |
| Keywords: | BP neural network ship selection modeling |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
