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基于神经网络的清淤工程预警模型研究
Research on the Alarm Forecasting Model of Sediment-Cleaning Project Based on Neural Network
【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.
【Abstract】 The reasons of harbor-sediment are very complex and affect each other.Based on the multi-layer 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.
【基金】 国家科技部软科学项目(2003DGQ1D089)
- 【文献出处】 中北大学学报(自然科学版) ,Journal of North University of China(Natural Science Edition) , 编辑部邮箱 ,2007年06期
- 【分类号】TP183
- 【被引频次】3
- 【下载频次】122