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期刊论文 [17]
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Fuzzy Deep Forest With Deep Contours Feature for Leaf Cultivar Classification
期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2022, 卷号: 30, 期号: 12, 页码: 5431-5444
作者:
Zheng, Wenbo
;
Yan, Lan
;
Gou, Chao
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2023/01/09
Contour feature learning
data augmentation
deep forest
fuzzy logic
An EEG Signal Recognition Algorithm During Epileptic Seizure Based on Distributed Edge Computing
期刊论文
INTERNATIONAL JOURNAL OF INTERACTIVE MULTIMEDIA AND ARTIFICIAL INTELLIGENCE, 2022, 卷号: 7, 期号: 5, 页码: 6-13
作者:
Qiu, Shi
;
Cheng, Keyang
;
Zhou, Tao
;
Tahir, Rabia
;
Ting, Liang
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2022/10/14
Clinical Feature
Cloud Computing
Deep Learning
Edge Computing
EEG Signal
Epilepsy
Seizure
Takagi-Sugeno-Kang (TSK)
Fuzzy C-Means Clustering Based Deep Patch Learning With Improved Interpretability for Classification Problems
期刊论文
IEEE ACCESS, 2022, 卷号: 10, 页码: 49873-49891
作者:
Huang, Yunhu
;
Chen, Dewang
;
Zhao, Wendi
;
Lv, Yisheng
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2022/07/25
Computational modeling
Training
Microwave integrated circuits
Deep learning
Data models
Artificial neural networks
Training data
Fuzzy c-means (FCM) clustering
maximal information coefficient (MIC)
random input (RI)
deep patch learning classifier
interpretability
Accurate prediction of short-term photovoltaic power generation via a novel double-input-rule-modules stacked deep fuzzy method
期刊论文
ENERGY, 2020, 卷号: 212, 页码: 13
作者:
Li, Chengdong
;
Zhou, Changgeng
;
Peng, Wei
;
Lv, Yisheng
;
Luo, Xin
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2021/03/08
PV power generation prediction
Deep fuzzy model
Double input rule module
Data driven method
Least square method
A Fuzzy Deep Model Based on Fuzzy Restricted Boltzmann Machines for High-Dimensional Data Classification
期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2020, 卷号: 28, 期号: 7, 页码: 1344-1355
作者:
Feng, Shuang
;
Chen, C. L. Philip
;
Zhang, Chun-Yang
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  |  
浏览/下载:23/0
  |  
提交时间:2020/08/03
Data models
Training
Training data
Fuzzy neural networks
Databases
Neural networks
Classification
fuzzy deep model
fuzzy restricted Boltzmann machine (FRBM)
hybrid learning
Evaluation of conditioned Latin hypercube sampling for soil mapping based on a machine learning method
期刊论文
GEODERMA, 2020, 卷号: 369, 页码: 15
作者:
Yang, Lin
;
Li, Xinming
;
Shi, Jingjing
;
Shen, Feixue
;
Qi, Feng
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2020/05/19
Conditioned Latin hypercube sampling
Soil mapping
Representativeness
Sample randomness
Hierarchical Fused Model With Deep Learning and Type-2 Fuzzy Learning for Breast Cancer Diagnosis
期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2020, 卷号: 28, 期号: 12, 页码: 3204-3218
作者:
Shen, Tianyu
;
Wang, Jiangong
;
Gou, Chao
;
Wang, Fei-Yue
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  |  
浏览/下载:22/0
  |  
提交时间:2021/03/02
Image segmentation
Biomedical imaging
Fuzzy sets
Breast cancer
Breast cancer
deep learning (DL)
fuzzy classifier (FC)
interval type-2 possibilistic fuzzy c-means (IT2PFCM)
A hybrid deep neural network model for query intent classification
期刊论文
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2019, 卷号: 36, 页码: 6413-6423
作者:
Xu, Bo
;
Ma, Yunlong
;
Lin, Hongfei
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/02
Information retrieval
query intent classification
query representation
deep neural network model
machine learning
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
Autoencoder-based deep belief regression network for air particulate matter concentration forecasting
期刊论文
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2018, 卷号: 34, 期号: 6, 页码: 3475-3486
作者:
Liu, Y
;
Wang, XX
;
Xie, JJ
;
Bai, Y
;
刘宇(东)
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2019/09/24
Deep belief regression network
autoencoder
particulate matter
meteorological data
forecasting
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