搜索多头注意力机制共有 12 个结果
1
Aero-engine remaining useful life prediction based on multi-scale time-frequency fusion and composite attention mechanism
2026年第2期 : 517-527
doi:10.19734/j.issn.1001-3695.2025.07.0242
2
Graph neural network recommendation model integrating dynamic neighborhood selection and multi-interest representation
2026年第1期 : 60-68
doi:10.19734/j.issn.1001-3695.2025.06.0185
3
Interactive recommendation method combining text enhancement and deep reinforcement learning
2025年第12期 : 3637-3643
doi:10.19734/j.issn.1001-3695.2025.04.0155
4
Vehicles trajectory prediction approach based on Transformer with edge update and multi-head attention interactive fusion
2025年第8期 : 2348-2354
doi:10.19734/j.issn.1001-3695.2025.01.0017
5
Hierarchical reinforcement learning knowledge reasoning method integrating Bi-LSTM and multi-head attention
2025年第1期 : 71-77
doi:10.19734/j.issn.1001-3695.2024.06.0197
6
Traffic flow prediction model based on combining periodic graph convolution network and multi-head attention GRU
2024年第4期 : 1041-1046
doi:10.19734/j.issn.1001-3695.2023.08.0362
7
Unsupervised abnormal power consumption detection via deep siamese autoregressive network
2023年第12期 : 3717-3722,3727
doi:10.19734/j.issn.1001-3695.2023.07.0337
8
Information diffusion prediction based on hypergraph attention mechanism and graph convolution network
2023年第6期 : 1715-1720
doi:10.19734/j.issn.1001-3695.2022.10.0510
9
Multi-head attention spatio-temporal convolutional graph network for traffic flow prediction
2023年第3期 : 766-770
doi:10.19734/j.issn.1001-3695.2022.07.0362
10
xDeepFM recommendation model based on multi-head attention mechanism and location information
2021年第10期 : 3055-3059
doi:10.19734/j.issn.1001-3695.2021.03.0088
11
Social network sign prediction based on multi-head attention mechanism
2021年第5期 : 1360-1364
doi:10.19734/j.issn.1001-3695.2020.07.0180
12
Clustering optimization recommendation algorithm for multi-head attention comment quantization
2021年第5期 : 1376-1380
doi:10.19734/j.issn.1001-3695.2020.05.0125