Wang, H.; Wu, H.; Zhu, H.; Miao, Y.; Wang, Q.; Qiao, S.; Zhao, H.; Chen, C.; Zhang, J.
A Residual LSTM and Seq2Seq Neural Network Based on GPT for Chinese Rice-Related Question and Answer System. Agriculture 2022, 12, 813.
https://doi.org/10.3390/agriculture12060813
AMA Style
Wang H, Wu H, Zhu H, Miao Y, Wang Q, Qiao S, Zhao H, Chen C, Zhang J.
A Residual LSTM and Seq2Seq Neural Network Based on GPT for Chinese Rice-Related Question and Answer System. Agriculture. 2022; 12(6):813.
https://doi.org/10.3390/agriculture12060813
Chicago/Turabian Style
Wang, Haoriqin, Huarui Wu, Huaji Zhu, Yisheng Miao, Qinghu Wang, Shicheng Qiao, Haiyan Zhao, Cheng Chen, and Jingjian Zhang.
2022. "A Residual LSTM and Seq2Seq Neural Network Based on GPT for Chinese Rice-Related Question and Answer System" Agriculture 12, no. 6: 813.
https://doi.org/10.3390/agriculture12060813
APA Style
Wang, H., Wu, H., Zhu, H., Miao, Y., Wang, Q., Qiao, S., Zhao, H., Chen, C., & Zhang, J.
(2022). A Residual LSTM and Seq2Seq Neural Network Based on GPT for Chinese Rice-Related Question and Answer System. Agriculture, 12(6), 813.
https://doi.org/10.3390/agriculture12060813