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科研机构
湖南大学 [5]
江苏大学 [4]
武汉大学 [4]
重庆大学 [3]
西安理工大学 [3]
兰州理工大学 [2]
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期刊论文 [29]
学位论文 [4]
会议论文 [2]
发表日期
2018 [35]
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基于改进LSSVM算法的数控机床热误差建模研究
期刊论文
机械制造与自动化, 2018, 期号: 2018年06期, 页码: 96-99
作者:
赵家黎
;
李桥林
;
黄利康
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/11/13
数控机床
热误差建模
提升小波
最小二乘支持向量机
Projection of population structure in China using least squares support vector machine in conjunction with a Leslie matrix model
期刊论文
JOURNAL OF FORECASTING, 2018, 卷号: 37, 期号: 2, 页码: 225-234
作者:
Li, Shuang
;
Yang, Zewei
;
Li, Hongsheng
;
Shu, Guangwen
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2019/05/30
fertility rate
Leslie matrix model
ls-SVM
mortality rate
population structure
基于PNN-LSSVM模型的医院总收入预测
期刊论文
价值工程, 2018, 卷号: 37, 期号: 14
作者:
刘超
;
周波
;
李清竹
;
张雅云
;
秦国伟
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/04
医院总收入预测
PNN-LSSVM模型
LSSVM建模
The Feasibility Study for Multigeometries Identification of Uranium Components Using PCA-LSSVM Based on Correlation Measurements
期刊论文
2018, 卷号: 2018
作者:
Zhou, Mi[1,2]
;
Feng, Peng[1,3]
;
Liu, Yixin[4]
;
Wei, Biao[1]
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/11/28
Research on an optical e-nose denoising method based on LSSVM
期刊论文
2018, 卷号: 168, 页码: 118-126
作者:
Zhang, Wenli[1]
;
Tian, Fengchun[1]
;
Song, An[1]
;
Hu, Youwen[1]
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/11/28
A novel wind speed prediction method: Hybrid of correlation-aided DWT, LSSVM and GARCH
期刊论文
2018, 卷号: 174, 页码: 28-38
作者:
Jiang, Yan[1,2]
;
Huang, Guoqing[1,2,3]
;
Peng, Xinyan[1,2]
;
Li, Yongle[2]
;
Yang, Qingshan[3]
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/11/30
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*
收藏
  |  
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
数据驱动的多维过程质量状态监测分析方法研究
学位论文
2018
作者:
闫丰献
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/11/26
多维过程质量状态
数据云池
云池相似度
云迁移-LSSVM
自适应预测
基于改进多输出支持向量机的声发射源定位研究
期刊论文
传感器与微系统, 2018, 卷号: 37, 期号: 2, 页码: 64-66, 71
作者:
史勃
;
黄益泽
;
荣胜波
;
张环宇
;
朱军
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2018/03/25
声发射
核主成分分析
多输出支持向量机
参数优化
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