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中南大学 [2]
地理科学与资源研究所 [1]
成都山地灾害与环境研... [1]
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期刊论文 [11]
会议论文 [1]
发表日期
2018 [12]
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发表日期:2018
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Simulating spatial distribution of coastal soil carbon content using a comprehensive land surface factor system based on remote sensing
期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 卷号: 628-629, 页码: 384-399
作者:
Chi, Yuan
;
Shi, Honghua
;
Zheng, Wei
;
Sun, Jingkuan
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/08/19
Soil carbon content mapping
Comprehensive land surface factor system
Spatial distribution
Remote sensing
Back propagation neural network
Yellow River Delta
Brain-inspired Balanced Tuning for Spiking Neural Networks
会议论文
Stockholm, Sweden, July 13-19, 2018
作者:
Zhang TL(张铁林)
;
Ceng Y(曾毅)
;
Zhao DC(赵东城)
;
Xu B(徐波)
;
Tielin Zhang, Yi Zeng
收藏
  |  
浏览/下载:54/0
  |  
提交时间:2018/10/12
Spiking Neural Network
Spatio-Temporal Pattern Estimation of PM2.5 in Beijing-Tianjin-Hebei Region Based on MODIS AOD and Meteorological Data Using the Back Propagation Neural Network
期刊论文
ATMOSPHERE, 2018, 卷号: 9, 期号: 3, 页码: 14
作者:
Ni, Xiliang
;
Cao, Chunxiang
;
Zhou, Yuke
;
Cui, Xianghui
;
Singh, Ramesh P.
收藏
  |  
浏览/下载:40/0
  |  
提交时间:2019/05/23
aerosol optical depth
PM2.5
MODIS
air pollution
artificial neural network
Beijing-Tianjin-Hebei (BTH) region
back propagation neural network
Estimating aboveground biomass using Pleiades satellite image in a karst watershed of Guizhou Province, Southwestern China
期刊论文
Journal of Mountain Science, 2018, 卷号: 15, 期号: 5, 页码: 1020-1034
作者:
Yin-ming Guo
;
Jian Ni
;
Li-bin Liu
;
Yang-yang Wu
;
Chun-zi Guo
;
Xin Xu
;
Qiao-lian Zhong
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2019/05/09
Aboveground Biomass
Secondary Karst Forest
Artificial Neural Network
Vegetation Indices
Very High Resolution Satellite Image
Geometry Characteristics Prediction of Single Track Cladding Deposited by High Power Diode Laser Based on Genetic Algorithm and Neural Network
期刊论文
International Journal of Precision Engineering and Manufacturing, 2018, 卷号: 19, 期号: 7, 页码: 1061-1070
作者:
Liu, Huaming
;
Qin, Xunpeng*
;
Huang, Song
;
Jin, Lei
;
Wang, Yongliang
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  |  
浏览/下载:4/0
  |  
提交时间:2019/12/04
Single track cladding
High power diode laser
Genetic algorithm
Back propagation artificial neural network
Full factorial design
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
Investigation of Support Vector Machine and Back Propagation Artificial Neural Network for performance prediction of the organic Rankine cycle system
期刊论文
Energy, 2018, 卷号: Vol.144, 页码: 14
作者:
Dong, S.a
;
Zhang, Y.a,b
;
He, Z.a
;
Deng, N.a
;
Yu, X.a
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/11/21
改进人工蜂群优化BP神经网络的分类研究
期刊论文
计算机工程与应用, 2018, 卷号: 54, 期号: 10, 页码: 158-163
作者:
潘福成
;
李帅
;
韦鹏宇
;
杨斌
;
郑荣
收藏
  |  
浏览/下载:59/0
  |  
提交时间:2018/06/17
BP神经网络
分类
泛化能力
人工蜂群
Spatio-Temporal Pattern Estimation of PM2.5 in Beijing-Tianjin-Hebei Region Based on MODIS AOD and Meteorological Data Using the Back Propagation Neural Network
期刊论文
ATMOSPHERE, 2018, 卷号: 9, 期号: 3
作者:
Ni, Xiliang
;
Cao, Chunxiang
;
Zhou, Yuke
;
Cui, Xianghui
;
Singh, Ramesh P.
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/11
aerosol optical depth
PM2.5
MODIS
air pollution
artificial neural
network
Beijing-Tianjin-Hebei (BTH) region
back propagation neural
network
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