计算机与数字工程2025，Vol.53Issue(11)：3179-3184,6.DOI:10.3969/j.issn.1672-9722.2025.11.033
船舶总体性能APP智能推荐应用研究
Intelligent Recommendation of Overall Ship Performance APP
摘要
Abstract
Considering the complexity and exploratory nature of scientific research in the professional field of ships,research-ers cannot screen out the suitable APP quickly for the current research objectives from various simulation computing software(APP)in the field of ship overall performance prediction,evaluation and optimization.An intelligent recommendation model of APP for ship overall performance based on deep learning is proposed.Multi-dimensional feature vectors of researchers'data and ship overall performance APP are constructed,personnel features and APP features are extracted through deep neural network,and the cosine similarity between features is calculated.And the fusion information such as APP score,APP computing task statistics and APP ac-cess statistics is used as the similarity measure standard to train the model and generate the recommendation model.The results show that the recommendation model can actively recommend accurate apps for researchers,help them find appropriate ship perfor-mance apps,and realize personalized intelligent recommendation of apps quickly.Compared with the other two traditional methods,this model performs well in terms of accuracy,error,and F1 score.关键词
深度学习/智能推荐/深度神经网络Key words
intelligent recommendation system/deep learning/deep neural networks分类
信息技术与安全科学引用本文复制引用
洪华军,王春艳..船舶总体性能APP智能推荐应用研究[J].计算机与数字工程,2025,53(11):3179-3184,6.基金项目
船舶总体性能创新研究开放基金项目(编号:25422217)资助. （编号:25422217）
