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中南大学 [7]
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厦门大学 [1]
西安交通大学 [1]
大连理工大学 [1]
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期刊论文 [18]
学位论文 [3]
会议论文 [2]
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2018 [3]
2017 [2]
2016 [2]
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Application of neural network and time series modeling to study the suitability of drain water quality for irrigation: a case study from Egypt
期刊论文
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2020, 页码: 17
作者:
Abdel-Fattah, Mohamed K.
;
Mokhtar, Ali
;
Abdo, Ahmed, I
收藏
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浏览/下载:10/0
  |  
提交时间:2021/03/18
Water resources
IWQI
Artificial neural networks (ANN)
ARIMA
Time series
Egypt
Analysis of Outcomes in Ischemic vs Nonischemic Cardiomyopathy in Patients With Atrial Fibrillation A Report From the GARFIELD-AF Registry
期刊论文
2019, 卷号: 4, 期号: 6, 页码: 526-548
作者:
Corbalan, Ramon
;
Bassand, Jean-Pierre
;
Illingworth, Laura
;
Ambrosio, Giuseppe
;
Camm, A. John
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  |  
浏览/下载:72/0
  |  
提交时间:2020/01/03
基于ARIMA和ANN组合模型的大型活动中区域交通流预测研究
学位论文
: 大连理工大学, 2018
作者:
刘鑫
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浏览/下载:8/0
  |  
提交时间:2019/12/02
交通流预测
ARIMA
BP神经网络
组合模型
大型活动
Big multi-step wind speed forecasting model based on secondary decomposition, ensemble method and error correction algorithm
期刊论文
Energy Conversion and Management, 2018, 卷号: 156, 页码: 525-541
作者:
Liu, Hui
;
Duan, Zhu
;
Han, Feng-ze
;
Li, Yan-fei*
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  |  
浏览/下载:38/0
  |  
提交时间:2019/12/03
NWP
numerical weather prediction
CS
Cuckoo search
FS
fuzzy system
WRF
weather research and forecasting
KF
Kalman filter
ARIMA
auto-regressive integrated moving average
ARCH
autoregressive conditional heteroskedasticity
ANN
artificial neural networks
SVM
support vector machine
CRO
Coral Reefs optimization algorithm
ELM
extreme learning machine
MFNN
multi-layer feed-forward neural network
SPSA
simultaneous perturbation stochastic approximation
HM
Hammerstein Model
AR
auto-regressive
AdaBoost
adaptive boosting
MLP
multilayer perceptron
DNN-MRT
deep neural network based meta regression and transfer learning
WD
wavelet decomposition
FEEMD
fast ensemble empirical mode decomposition
EMD
empirical mode decomposition
WPD
wavelet packet decomposition
SSA
singular spectrum analysis
BFGS
Broyden–Fletcher–Goldfarb–Shanno Quasi-Newton Back Propagation
LSSVM
least square support vector machine
PSOGSA
partial swarm optimization combined with gravitational search algorithm
FCM
fuzzy C-means
EEMD
ensemble empirical mode decomposition
SampEn
sample entropy
VMD
variational mode decomposition
MAdaBoost
Modified AdaBoost.RT
WF
wavelet filter
MAE
mean absolute error
MAPE
mean absolute percentage error
RMSE
root mean squared error
CWT
continuous wavelet transform
DWT
discrete wavelet transform
LMD
local mean decomposition
ADMM
alternate direction method of multipliers
Big multi-step wind speed forecasting
Wavelet decomposition
Variational mode decomposition
Sample entropy
Modified adaBoost.RT
Wavelet filter
Comparison of two new intelligent wind speed forecasting approaches based on Wavelet Packet Decomposition, Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Artificial Neural Networks
期刊论文
Energy Conversion and Management, 2018, 卷号: 155, 页码: 188-200
作者:
Liu, Hui
;
Mi, Xiwei
;
Li, Yanfei*
收藏
  |  
浏览/下载:41/0
  |  
提交时间:2019/12/03
Wind speed forecasting
Wavelet packet decomposition
Complete Ensemble Empirical Mode Decomposition with Adaptive Noise
Artificial Neural Network
ANN
Artificial Neural Network
AR
Auto Regressive
ARIMA
Auto Regressive Integrated Moving Average
BA
Bat Algorithm
BP
Back-propagation Neural Network
CEEMDAN
Complete Ensemble Empirical Mode Decomposition
CG
Conjugate Gradient
CLSFPA
Flower Pollination Algorithm with Chaotic Local Search
CNN
Convolutional Neural Network
CS
Compressive Sensing
CSA
Cuckoo Search Algorithm
EEMD
Ensemble Empirical Mode Decomposition
ESM
Exponential Smoothing Method
FA
Firefly Algorithm
FAC
First-order Adaptive Coefficient
GA
Genetic Algorithm
GRNN
General Regression Neural Network
HBSA
Hybrid Backtracking Search Algorithm
HWM
Holt-Winters Model
IMFs
Intrinsic Mode Functions
IS
Input parameter Selection
KF
Kalman filter
LSSVM
Least Square Support Vector Machine
MAE
Mean Absolute Error
MAPE
Mean Absolute Percentage Error
MLP
Multilayer Perceptron Neural Network
MOBA
Multi Objective Bat Algorithm
NNCT
No Negative Constraint Theory
NSGA
Non-dominated Sorting Genetic Algorithm
OVMD
Optimized Variational Mode Decomposition
PSO
Particle Swam Optimization
PSOSA
Particle Swarm Optimization based on Simulated Annealing
PSR
Phase Space Reconstruction
RBF
Radial Basis Function Neural Network
RMSE
Root Mean Square Error
SAC
Second-order Adaptive Coefficient
SAM
Seasonal Adjustment Method
SDA
Secondary Decomposition Algorithm
SEA
Seasonal Exponential Adjustment
SOM
Self-Organizing feature Maps
SSA
Singular Spectrum Analysis
SVR
Support Vector Regression
VMD
Variational Mode Decomposition
v-SVM
v-Support Vector Machine
WD
Wavelet Decomposition
WPD
Wavelet Packet Decomposition
Forecasting long-term global solar radiation with an ANN algorithm coupled with satellite-derived (MODIS) land surface temperature (LST) for regional locations in Queensland
期刊论文
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2017, 卷号: 72, 页码: 828-848
作者:
Deo, Ravinesh C.
;
Sahin, Mehmet
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2019/10/09
Satellite-based solar model
Neural network
Multi-linear regression
ARIMA model
基于ARIMA-ANN组合模型的股票价格预测研究
学位论文
2017
作者:
张彤彤
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/11/26
时间序列预测
ARIMA
ANN
混合模型
股价预测
Hybrid denoising-jittering data processing approach to enhance sediment load prediction of muddy rivers
期刊论文
Journal of Mountain Science, 2016, 卷号: 13, 期号: 12, 页码: 2135-2146
作者:
Afshin PARTOVIAN
;
Vahid NOURANI
;
Mohammad Taghi ALAMI
收藏
  |  
浏览/下载:52/0
  |  
提交时间:2016/11/30
Runoff–sediment modeling
ANN
ANFIS
Wavelet denoising
Jittered data
Minnesota River
Improving Forecasting Performance by Exploiting Expert Knowledge: Evidence from Guangzhou Port
期刊论文
INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING, 2016, 卷号: 15, 期号: 2, 页码: 387-401
作者:
Huang, Anqiang
;
Qiao, Han
;
Wang, Shouyang
;
Liu, John
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2018/07/30
Container throughput forecast
expert knowledge
subjective judgment
指数跟踪投资组合与多信息下指数可预测性——基于Adaptive LASSO和ARIMA-ANN方法
期刊论文
系统工程, 2015, 期号: 2015年04期, 页码: 1-7
作者:
刘睿智
;
周勇
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/09/18
可预测性
自适应套索方法
指数分解预测
人工神经网络
有效市场
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