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Prediction of Slurry Pressure Balance under Difficult Geological Conditions Based on Long short Memory Cyclic Neural Network
  • 2023/04/27 10:33
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English name
Prediction of Slurry Pressure Balance under Difficult Geological Conditions Based on Long short Memory Cyclic Neural Network
CSTR
CSTR:11738.11.NCDC.NIEER.DB2773.2023
DOI
10.12072/ncdc.nieer.db2773.2023
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Category
Others
contributors
ZHOU Biao
Datasets description 

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  This data set contains PLC data cases in different input and output cases. The data is obtained by analyzing and mining the parameters of different parts. The dataset contains an excel file. The tabular data includes various parameters of PLC, such as SPE, SPW, AR, TOR, RS, THR, FFR, RFR, FSD, etc., including maximum, minimum, average and standard values.

Base information
collect time 2020/10/01  -  2020/10/31
collect place Shanghai
data size 17.1 KiB
Data thumbnail
Data source description 

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 Analysis and mining.

Data processing method 

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  Analysis and mining.

Data quality description 

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  The data quality is good.

Project information
# number name type
1 2018YFC0809600 National key R & D plan
Citations and annotations
In order to protect the rights and interests of the platform's scientific and technological resources, expand the services of the platform center, and enhance the application potential of scientific and technological resources, resource users are requested to mark and quote the research results (including published papers, treatises, data products, unpublished research reports, data products, etc.) generated by the use of resources in the following manner.

For the achievements published in English, please refer to the following specifications： The dataset is provided by National Cryosphere Desert Data Center. (http://www.ncdc.ac.cn).

Data reference
  1. ZHOU Biao. Prediction of Slurry Pressure Balance under Difficult Geological Conditions Based on Long short Memory Cyclic Neural Network. National Cryosphere Desert Data Center(http://www.ncdc.ac.cn), 2023. https://cstr.cn/CSTR:11738.11.NCDC.NIEER.DB2773.2023.
  2. ZHOU Biao. Prediction of Slurry Pressure Balance under Difficult Geological Conditions Based on Long short Memory Cyclic Neural Network. National Cryosphere Desert Data Center(http://www.ncdc.ac.cn), 2023. https://www.doi.org/10.12072/ncdc.nieer.db2773.2023.
license agreement
# title file size
1 Predicting Slurry Pressure Balance with a Long Short-Term Memory Recurrent Neural Network in Difficult Ground Condition.xlsx 0 Bytes
2 数据集说明文件.docx 17.1 KiB
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Contact information
contributors:
ZHOU Biao
author:
ZHOU Biao
manager:
ZHOU Biao
Platform Service information
contacts:
Li Hongxing
phone:
0931-4967592
mailbox:
ncdc@lzb.ac.cn

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