id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajst-11303	Liu, Ruohuan; Yang, Yazhi; Wang, Bin; Zhang, Xingpeng	Prediction of Cement Slurry Density Based on AMIndRNN	2023	6	.pdf	application/pdf	3695	230	56	It shows that IndRNN can better extract the potential characteristics of cement slurry density data, and solve the problem of gradient explosion and gradient disappearance of RNN and LSTM, which proves that the model has good performance in the field of oilfield cementing operation. In response to the above problems,This paper proposes AMIndRNN(Attention Mechanism combined with Independently Recurrent Neural Network) for cement slurry density prediction, and optimizes IndRNN by introducing SMU activation function.	cache/ajst-11303.pdf	txt/ajst-11303.txt