首页> Neural networks : the official journal of the International Neural Network Society> A Hyper-Transformer model for Controllable Pareto Front Learning with Split Feasibility Constraints.

A Hyper-Transformer model for Controllable Pareto Front Learning with Split Feasibility Constraints.

导出 LinkOut

翻译打印收藏纠错

第一作者： Tran Anh,Tuan

第一单位： Faculty of Mathematics and Informatics, Hanoi University of Science and Technology; Center for Digital Technology and Economy (BK Fintech), Hanoi University of Science and Technology, Hanoi, Vietnam. Electronic address: tuan.ta222171m@sis.hust.edu.vn.

作者： Tran Anh,Tuan ^[1] ; Nguyen Viet,Dung ^[2] ; Tran Ngoc,Thang ^[3]

作者单位： Faculty of Mathematics and Informatics, Hanoi University of Science and Technology; Center for Digital Technology and Economy (BK Fintech), Hanoi University of Science and Technology, Hanoi, Vietnam. Electronic address: tuan.ta222171m@sis.hust.edu.vn. ^[1] Faculty of Mathematics and Informatics, Hanoi University of Science and Technology; Center for Digital Technology and Economy (BK Fintech), Hanoi University of Science and Technology, Hanoi, Vietnam. Electronic address: dung.nv232215m@sis.hust.edu.vn. ^[2] Faculty of Mathematics and Informatics, Hanoi University of Science and Technology; Center for Digital Technology and Economy (BK Fintech), Hanoi University of Science and Technology, Hanoi, Vietnam. Electronic address: thang.tranngoc@hust.edu.vn. ^[3]

关键词 Controllable pareto front learning Hypernetwork Multi-objective optimization Split feasibility problem Transformer

医学主题词算法(Algorithms);可行性研究(Feasibility Studies);人类(Humans);计算机模拟(Computer Simulation)

DOI 10.1016/j.neunet.2024.106571

PMID 39121789

发布时间 2024-09-17

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交