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基于KNN算法的船用克令吊仿真作业智能评估模型

Intelligent Evaluation Model for Simulation Operation of Ship Crane Based on KNN Algorithm
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摘要 为实现船用克令吊仿真作业智能评估、提升评估的科学性和客观性,基于KNN算法提出了一种智能评估模型。基于KNN的评估算法流程将样本集划分为训练集与测试集,进而提出一种最优k值选择算法;在设置评估指标、制定评估项目和设计评估流程的基础上建立了评估克令吊仿真作业模型,并将该评估模型应用于船用克令吊仿真训练系统中,证明了该智能评估模型的可行性与有效性。 In order to realize the intelligent evaluation of the simulation operation of the ship crane and improve the scientificity and objectivity of the evaluation,an intelligent evaluation model is proposed based on the KNN algorithm. The evaluation algorithm flow based on KNN is given,the sample set is divided into training set and test set,and an optimal k value selection algorithm is proposed. On the basis of setting evaluation indicators,formulating evaluation items and designing evaluation process,a model for evaluating the simulation operation of cranes is established. The evaluation model is applied to the simulation training system of the ship crane,which proves the feasibility and effectiveness of the intelligent evaluation model.
作者 时光志 SHI Guangzhi(Oil Production Services Co.,CNOOC Energy Technology&Services Limited,Tianjin 300452,China)
出处 《天津科技》 2022年第3期74-79,共6页 Tianjin Science & Technology
关键词 KNN 船用克令吊 仿真训练系统 智能评估 KNN ship crane simulation training system intelligent evaluation
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