摘要
尝试运用人工神经网络原理 ,建立卧倒门启闭时升船机承船厢内船舶所受最大纵向系缆力的计算模型 (NNCM-MLHF -SLC -TGO) ;根据岩滩升船机和三峡升船机的模型试验资料对网络模型的性能进行了测试 ,结果表明 ,所建立的神经网络计算模型可用于船舶所受最大纵向系缆力的初步预测 ;
The computing models (NNCM-MLHF-SLC-TGO) of maximum longitudinal hawser force of ship in ship lift chamber during tumble gate operation were established through a trial of utilizing the principle of artificial neural networks. The characteristics of the models were tested according to the experimental data from Yantan Ship Lift and Three Gorges Ship Lift, which indicated that the models established not only may be applied for preliminary forecasting of the maximum longitudinal mooring force of ship, but also provides a new way for study on ship chamber hydrodynamics as well.
出处
《水运工程》
北大核心
2002年第11期10-13,共4页
Port & Waterway Engineering
