摘要
港口淤积受多方面因素的交互影响,极其复杂.基于误差反传播算法(BP算法)的多层前向神经网络理论,以M atlab6.5为开发平台,在分析与港口淤积相关的海量数据的基础上,建立了港口清淤工程预警模型,从而达到更有效指导港口清淤工程的目的.
The reasons of harbor-sediment are very complex and affect each other. Based on the multilayer forward neural network theory of BP algorithm and the analysis of related mass data, it s built that an alarm-forecasting model of harbor sediment-cleaning project with Matlab 6.5 as developing platform. The model can guide the sediment-cleaning project effectively.
出处
《中北大学学报（自然科学版）》
EI
CAS
2007年第6期512-516,共5页
Journal of North University of China(Natural Science Edition)
基金
国家科技部软科学项目(2003DGQ1D089)
关键词
神经网络
港口淤积
预测
neural network
harbor-sediment
forecasting
