Oct 13, 2020 · In this article, we propose MTGA, a Multitask Gated recurrent unit (GRU) Autoencoder, approach to 1) obtain the robust feature representation for the ...
Mar 5, 2021 · In this article, we propose MTGA, a Multitask Gated recurrent unit (GRU) Autoencoder, approach to 1) obtain the robust feature representation ...
Predicting Grain Losses and Waste Rate Along the Entire Chain: A Multitask Multigated Recurrent Unit Autoencoder Based Method · Jie Cao, Youquan Wang, +3 authors
Predicting Grain Losses and Waste Rate Along the Entire Chain: a Multitask Multigated Recurrent Unit Autoencoder Based Method. Cao, J.; Wang, Y.; He, J.; ...
The evaluation results show that grain LWR prediction by our approach achieves the best results compared to several state-of-the-art prediction model. Moreover, ...
Missing: Multigated | Show results with:Multigated
Predicting grain losses and waste rate along the entire chain: A multitask multigated recurrent unit autoencoder based method. J Cao, Y Wang, J He, W Liang ...
Predicting grain losses and waste rate along the entire chain: A multitask multigated recurrent unit autoencoder based method. Release time:2024-03-29 Hits ...
Cao, et al. [26] predicted grain loss and waste rates based on a multi-task multi-gate recurrent unit autoencoder method, and the results indicated that the ...
Predicting grain losses and waste rate along the entire chain: A multitask multigated recurrent unit autoencoder based method. IEEE Transactions on Industrial ...
2021. Predicting grain losses and waste rate along the entire chain: A multitask multigated recurrent unit autoencoder based method. J Cao, Y Wang, J He, W ...