基于GA-BP算法的工程船舶建模研究  

Modeling for Engineering Ship Based on GA-BP

作　　者：王丽[1] 郭建明[1] 

机构地区：[1]武汉理工大学,武汉430070

出　　处：《交通与计算机》2007年第6期67-69,共3页Computer and Communications

摘　　要：工程船舶由于自身没有动力,其运动过程是一个复杂的非线型系统,因受到环境等因素的干扰,很难对工程船舶特点建立一个理想的运动过程的数学模型。文章利用遗传算法的全局寻优特点来优化BP神经网络的连接权系数,很好地解决了这个问题。经训练后的模型仿真实验得到了很好的证实。The movement process of engineering ship is a complicated nonlinear system in that it has no power. Because it is easy to be disturbed by environmental factors, it is difficult to establish an ideal mathematical model of the moving shift system. This problem was well solved by using the characteristics of global optimization of genetic algorithm to optimize the initial weights of BP neural network, which was validated through a simulation experiment of the model after training.

关 键 词：遗传算法 BP神经网络 建模 

分 类 号：U661.73[交通运输工程—船舶及航道工程]