Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Yepeng Che"'
Autor:
Chaowei Dong, Nan Zhou, Jixiong Zhang, Wanan Lai, Jianfei Xu, Junlin Chen, Runhua Yu, Yepeng Che
Publikováno v:
Environmental Research. 221:115246
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79a4ea48b13ae2dc812b7852e34b2b77
https://doi.org/10.1016/j.envres.2023.115246
https://doi.org/10.1016/j.envres.2023.115246
Autor:
Yepeng Cheng, Yasuhiko Morimoto
Publikováno v:
IEEE Access, Vol 9, Pp 29165-29179 (2021)
The attention-based SeriesNet (A-SeriesNet) combined augmented attention residual learning module-based convolutional neural network (augmented ARLM-CNN) subnetwork with hidden state attention module-based recurrent neural network (HSAM-RNN) subnetwo
Externí odkaz:
https://doaj.org/article/da75362e51c14e77bd147d439c196563
Publikováno v:
IEEE Access, Vol 7, Pp 155650-155658 (2019)
This paper explores how the sequence of positive or negative comments and the degree of product involvement affect the purchase intention of consumers through a $2\times 2$ experiment. The results demonstrated that the sequence of positive or negativ
Externí odkaz:
https://doaj.org/article/30410f7794dc4f78a3667ee4bce41bd4
Publikováno v:
Information, Vol 11, Iss 6, p 305 (2020)
Traditional time series forecasting techniques can not extract good enough sequence data features, and their accuracies are limited. The deep learning structure SeriesNet is an advanced method, which adopts hybrid neural networks, including dilated c
Externí odkaz:
https://doaj.org/article/5d050a046bd04855a1047bdece664c34