船电技术2025，Vol.45Issue(7)：119-123,5.
基于级联相关神经网络的船体型线优化研究
Research on optimization of ship hull lines based on cascade correlation neural network
吴春吉 1潘大海2
作者信息
- 1. 武汉威迈新能源动力有限公司,武汉 430064
- 2. 南京港(集团)有限公司轮驳分公司,南京 210011
- 折叠
摘要
Abstract
As a high-performance approximation model,how to achieve adaptive generation of its network structure is the focus of research on neural network models.The article introduces the basic theory of adaptive construction of neural network structures and proposes a new method of combining evolutionary algorithms with Quickprop algorithms to optimize weights,which improves its construction efficiency.Finally,the method proposed in this article is successfully applied to the optimization design of ship hull lines in DTMB5415,and a high-performance ship form is obtained.关键词
神经网络模型/自适应构造方法/船体型线优化Key words
neural network model/adaptive construction method/optimization of ship hull lines分类
交通工程引用本文复制引用
吴春吉,潘大海..基于级联相关神经网络的船体型线优化研究[J].船电技术,2025,45(7):119-123,5.
