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兰州理工大学 [2]
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湖南大学 [2]
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西安交通大学 [1]
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期刊论文 [7]
会议论文 [2]
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学位论文 [1]
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2016 [2]
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Influence of Oil Price on Corn Price Based on Multiple Linear Regression Model
会议论文
Taichung, Taiwan, February 1, 2020 - February 3, 2020
作者:
Liu, Xinyu
;
Wang, Yanan
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2022/04/21
Agricultural products
Costs
Crude oil
International trade
Software testing
Corn future
Correlation tests
Crude oil prices
Energy
Energy prices
Eviews10
Multiple linear regression models
National level
Oil Prices
Price
based
Fault Monitoring Method of Wind Turbine Main Bearing
期刊论文
Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2021, 卷号: 41, 期号: 2, 页码: 341-347 and 415
作者:
Zheng, Yuqiao
;
Wei, Jianfeng
;
Zhu, Kai
;
Dong, Bo
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2022/02/17
Bearings (machine parts)
Forecasting
Linear regression
Monitoring
Sliding mode control
Statistics
Support vector machines
Support vector regression
Wind turbines
Change of temperatures
Combination forecasting models
Determination coefficients
Mean and standard deviations
Multiple linear regression models
Multivariate linear regression model
Sliding window methods
Support vector machine regressions
Quantifying landscape pattern and ecosystem service value changes: A case study at the county level in the Chinese Loess Plateau
期刊论文
GLOBAL ECOLOGY AND CONSERVATION, 2020, 卷号: 23, 页码: 14
作者:
Zhang, Jing
;
Qu, Mei
;
Wang, Cheng
;
Zhao, Jun
;
Cao, Yang
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2021/03/16
Land-use change
Landscape metrics
Multiple linear regression models
Spatial-temporal evolution
Comparative investigations on reference models for fault detection and diagnosis in centrifugal chiller systems
期刊论文
Energy and Buildings, 2016, 卷号: Vol.133, 页码: 246-256
作者:
Tran, DAT
;
Chen, YM
;
Jiang, CL
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/31
Chiller reference models
Multiple linear regression
Kriging
Radial basis function
Fault detection and diagnosis
Centrifugal chiller
Comparative investigations on reference models for fault detection and diagnosis in centrifugal chiller systems
期刊论文
Energy and Buildings, 2016, 卷号: Vol.133, 页码: 246-256
作者:
Tran, D.A.T.
;
Chen, Y.
;
Jiang, C.
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/31
Centrifugal
chiller
Chiller
reference
models
Fault
detection
and
diagnosis
Kriging
Multiple
linear
regression
Radial
basis
function
Parallel maximum likelihood estimator for multiple linear regression models
期刊论文
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2015, 卷号: 273, 页码: 251-263
作者:
Guo, Guangbao
;
You, Wenjie
;
Qian, Guoqi
;
Shao, Wei
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/12/17
Multiple linear regression models
Parallel computing
Maximum
likelihood estimator
Consistency
Outlier
Comparison of three methods to develop pedotransfer functions for the saturated water content and field water capacity in permafrost region
SCI/SSCI论文
2013
Yi X. S.
;
Li G. S.
;
Yin Y. Y.
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2014/12/24
Pedotransfer functions
Multiple-linear regression
Artificial neural
network
Rosetta method
soil hydraulic conductivity
particle-size distribution
pedo-transfer
functions
neural-network models
retention characteristics
bulk-density
physical-properties
alluvial soils
prediction
parameters
Comparison of current input equivalent circuit models of electrical vehicle battery
期刊论文
2010, 2010
Lin Chengtao
;
Qiu Bin
;
Chen Quanshi
收藏
  |  
浏览/下载:1/0
Prediction of octane number for clean gasoline obtained from secondary reactions based on back-propagation neural network
期刊论文
Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University, 2010, 卷号: 44, 期号: [db:dc_citation_issue], 页码: 82-86
作者:
Zhou, Xiaowei
;
Yuan, Jun
;
Yang, Bolun
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/10
Back propagation neural networks
BP neural network model
BP neural networks
Clean gasoline
Lump
Multiple linear regression models
Multiple linear regressions
Research octane number
具有输入故障自适应能力的在线智能建模
学位论文
2007, 2007
王静
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  |  
浏览/下载:2/0
  |  
提交时间:2016/02/14
系统辨识
多元线性回归
偏最小二乘
自适应神经模糊推理系统
输入故障诊断
模型可靠性
模型变结构
System recognition
Multiple Linear Regression
PLS
ANFIS
Input Variables Exception Diagnosis
Reliability of Models
Multi-Structure of Models
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