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Learning chaotic systems from noisy data via multi-step optimization and adaptive training
期刊论文
CHAOS, 2022, 卷号: 32, 期号: 12, 页码: 16
作者:
Zhang, Lei
;
Tang, Shaoqiang
;
He, Guowei
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2023/01/12
A New CIGWO-Elman Hybrid Model for Power Load Forecasting
期刊论文
JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2021, 卷号: 17, 期号: 2, 页码: 1319-1333
作者:
Hao, Jie
;
Zhu, Changsheng
;
Guo, Xiuting
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2021/12/17
Chaotic sequence
CIGWO-Elman
Feedback coefficient
Inertia weight
PSO
Power load forecasting
Random cosine function
Monthly Streamflow Forecasting Using ELM-IPSO Based on Phase Space Reconstruction
期刊论文
WATER RESOURCES MANAGEMENT, 2020, 卷号: 34, 期号: 11, 页码: 3515-3531
作者:
Jiang, Yan
;
Bao, Xin
;
Hao, Shaonan
;
Zhao, Hongtao
;
Li, Xuyong
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2021/08/31
Streamflow prediction
Chaohe River basin
Chaotic dynamic characteristics
Phase space reconstruction
Extreme learning machine
Improved particle swarm optimization algorithm
Structured Manifold Broad Learning System: A Manifold Perspective for Large-Scale Chaotic Time Series Analysis and Prediction
期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2019, 卷号: 31, 期号: 9, 页码: 1809-1821
作者:
Han, Min
;
Feng, Shoubo
;
Chen, C. L. Philip
;
Xu, Meiling
;
Qiu, Tie
收藏
  |  
浏览/下载:49/0
  |  
提交时间:2019/12/16
Manifold learning
dynamical system
nonuniform embedding
broad learning system
time series
A Hybrid Model Based on a Two-Layer Decomposition Approach and an Optimized Neural Network for Chaotic Time Series Prediction
期刊论文
SYMMETRY-BASEL, 2019, 卷号: 11
作者:
Xu, Xinghan
;
Ren, Weijie
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2019/12/02
chaotic time series prediction
neural network
firefly algorithm
CEEMDAN
VMD
Hybrid Regularized Echo State Network for Multivariate Chaotic Time Series Prediction
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2019, 卷号: 49, 页码: 2305-2315
作者:
Xu, Meiling
;
Han, Min
;
Qiu, Tie
;
Lin, Hongfei
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  |  
浏览/下载:23/0
  |  
提交时间:2019/12/02
Chaotic time series
L-1/2-norm penalty
L-2-norm penalty
prediction
regularization
Robust manifold broad learning system for large-scale noisy chaotic time series prediction: A perturbation perspective
期刊论文
NEURAL NETWORKS, 2019, 卷号: 117, 页码: 179-190
作者:
Feng, Shoubo
;
Ren, Weijie
;
Han, Min
;
Chen, Yen Wei
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  |  
浏览/下载:11/0
  |  
提交时间:2019/12/02
Time series
Tikhonov
Regularization
Perturbation
Manifold
Broad learning system
Interval Type-2 Fuzzy Neural Networks for Chaotic Time Series Prediction: A Concise Overview
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2019, 卷号: 49, 页码: 2720-2731
作者:
Han, Min
;
Zhong, Kai
;
Qiu, Tie
;
Han, Bing
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  |  
浏览/下载:13/0
  |  
提交时间:2019/12/02
Big data
chaotic time series prediction
computational intelligence (CI)
interval type-2 fuzzy neural network (IT2FNN)
Structured Manifold Broad Learning System: A Manifold Perspective for Large-Scale Chaotic Time Series Analysis and Prediction
期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2019, 卷号: 31, 页码: 1809-1821
作者:
Han, Min
;
Feng, Shoubo
;
Chen, C. L. Philip
;
Xu, Meiling
;
Qiu, Tie
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2019/12/02
Manifold learning
dynamical system
nonuniform embedding
broad learning system
time series
Multivariate Chaotic Time Series Online Prediction Based on Improved Kernel Recursive Least Squares Algorithm
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2019, 卷号: 49, 页码: 1160-1172
作者:
Han, Min
;
Zhang, Shuhui
;
Xu, Meiling
;
Qiu, Tie
;
Wang, Ning
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/02
Adaptive
kernel recursive least squares (KRLS)
online time series prediction
sparse
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