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Learning and Controlling Multiscale Dynamics in Spiking Neural Networks Using Recursive Least Square Modifications
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2024, 页码: 14
作者:
Wei, Qinglai
;
Han, Liyuan
;
Zhang, Tielin
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2024/03/27
Direct dynamic programming (DDP)
Lorenz system
multiscale dynamics
point-to-point control
recursive least square (RLS)
spiking neural network (SNN)
Learning Adaptive Semi-Supervised Multi-Output Soft-Sensors with Co-Training of Heterogeneous Models
期刊论文
IEEE Access, 2020, 卷号: 8, 页码: 46493-46504
作者:
Li, Dong
;
Huang DP(黄道平)
;
Yu GP(于广平)
;
Liu YQ(刘乙奇)
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2020/04/11
Soft-sensors, semi-supervised
co-training, multi-output
recursive partial least square (RPLS)
long short-term memory recurrent neural network (LSTM)
Time delay Chebyshev functional link artificial neural network
期刊论文
Neurocomputing, 2019, 卷号: Vol.329, 页码: 153-164
作者:
Lu Lu
;
Yi Yu
;
Xiaomin Yang
;
Wei Wu
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2019/02/25
Functional
link
artificial
neural
network
(FLANN)
Chebyshev
polynomials
Time
delay
Recursive
algorithm
Nonlinear
system
identification
GRAINS: Generative Recursive Autoencoders for INdoor Scenes
期刊论文
ACM TRANSACTIONS ON GRAPHICS, 2019, 卷号: 38, 期号: 2
作者:
Li, Manyi
;
Patil, Akshay Gadi
;
Xu, Kai
;
Chaudhuri, Siddhartha
;
Khan, Owais
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/12/11
3D indoor scene generation
recursive neural network
variational
autoencoder
Time delay Chebyshev functional link artificial neural network
期刊论文
NEUROCOMPUTING, 2019, 卷号: Vol.329, 页码: 153-164
作者:
Lu, Lu
;
Yu, Yi
;
Yang, Xiaomin
;
Wu, Wei
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2019/12/17
Functional
link
artificial
neural
network
(FLANN)
Chebyshev
polynomials
Time
delay
Recursive
algorithm
Nonlinear
system
identification
Time delay Chebyshev functional link artificial neural network
期刊论文
Neurocomputing, 2019, 卷号: Vol.329, 页码: 153-164
作者:
Lu Lu
;
Yi Yu
;
Xiaomin Yang
;
Wei Wu
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/12/13
Functional
link
artificial
neural
network
(FLANN)
Chebyshev
polynomials
Time
delay
Recursive
algorithm
Nonlinear
system
identification
Vision-Based Occlusion Handling and Vehicle Classification for Traffic Surveillance Systems
期刊论文
IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE, 2018, 卷号: 10, 期号: 2, 页码: 80-92
作者:
Chang, Jianlong
;
Wang, Lingfeng
;
Meng, Gaofeng
;
Xiang, Shiming
;
Pan, Chunhong
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2018/01/16
Visual Occlusion
Recursive Segmentation
Vehicle Classification
Deep Convolutional Neural Network
A cascaded method for text detection in natural scene images
期刊论文
Neurocomputing, 2017, 卷号: 238, 期号: 238, 页码: 307-315
作者:
Yang, Zheng
;
Qing, Li
;
Jie, Liu
;
Heping, Liu
;
Gen, Li
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2019/10/09
Extremal Regions
Recursive Local Search
Text Line Entropy
Convolutional Neural Network
A cascaded method for text detection in natural scene images
期刊论文
NEUROCOMPUTING, 2017, 卷号: 238, 期号: 238, 页码: 307-315
作者:
Zheng, Yang
;
Li, Qing
;
Liu, Jie
;
Liu, Heping
;
Li, Gen
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2017/07/18
Extremal Regions
Recursive Local Search
Text Line Entropy
Convolutional Neural Network
Takagi-Sugeno fuzzy model-based approach considering multiple weather factors for the photovoltaic power short-term forecasting
期刊论文
IET Renewable Power Generation, 2017, 卷号: 11, 期号: 10, 页码: 1281-1287
作者:
Liu, Fang
;
Li, Ranran
;
Li, Yong*
;
Yan, Ruifeng
;
Saha, Tapan
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/12/03
photovoltaic power systems
load forecasting
least mean squares methods
recursive estimation
support vector machines
backpropagation
recurrent neural nets
fuzzy reasoning
power engineering computing
Takagi-Sugeno fuzzy model-based approach
multiple-weather factors
photovoltaic power short-term forecasting
PV systems
electricity supply
PV power forecasting
air temperature
humidity
wind speed
wind direction
insolation
T-S fuzzy model
correlation analysis
fuzzy c-mean clustering algorithm
recursive least square method
St Lucia campus
The Queensland University of Australia
support vector machine
SVM
empirical mode decomposition
back propagation neural network
recurrent neural network
power 433 kW
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