摘要
给出了误差反传神经网络模型和学习算法及其改进型学习算法,并将其应用于船舶横摇运动时间序列预报,取得了较好的效果.亦可用于纵摇、艏摇的时间序列预报。
The model and learning algorithm for error back propagation neural network are given in this paper, the improved learning algorithm is also presented. The experiments of ship rolling time series prediction are done using the error back propagation neural network, the results performed well. The error back propagation neural network also can be used in ship pitching and heaving time series prediction.
出处
《大连海事大学学报》
CAS
CSCD
北大核心
2003年第1期39-42,共4页
Journal of Dalian Maritime University
关键词
误差反传神经网络
船舶横摇运动
时间序列预报
error back propagation neural network
ship rolling
time series prediction
