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Deep-ESN: A Multiple Projection-encoding Hierarchical Reservoir
  Computing Framework

Deep-ESN: A Multiple Projection-encoding Hierarchical Reservoir Computing Framework

13 November 2017
Qianli Ma
Lifeng Shen
G. Cottrell
    AI4TS
ArXivPDFHTML

Papers citing "Deep-ESN: A Multiple Projection-encoding Hierarchical Reservoir Computing Framework"

12 / 12 papers shown
Title
Chaos-based reinforcement learning with TD3
Chaos-based reinforcement learning with TD3
Toshitaka Matsuki
Yusuke Sakemi
Kazuyuki Aihara
30
0
0
15 May 2024
Deep Q-network using reservoir computing with multi-layered readout
Deep Q-network using reservoir computing with multi-layered readout
Toshitaka Matsuki
OffRL
16
2
0
03 Mar 2022
Introducing Randomized High Order Fuzzy Cognitive Maps as Reservoir
  Computing Models: A Case Study in Solar Energy and Load Forecasting
Introducing Randomized High Order Fuzzy Cognitive Maps as Reservoir Computing Models: A Case Study in Solar Energy and Load Forecasting
Omid Orang
Petrônio C. L. Silva
F. G. Guimarães
16
3
0
06 Jan 2022
At the Intersection of Deep Sequential Model Framework and State-space
  Model Framework: Study on Option Pricing
At the Intersection of Deep Sequential Model Framework and State-space Model Framework: Study on Option Pricing
Ziyang Ding
S. Mukherjee
14
0
0
14 Dec 2020
A Review of Designs and Applications of Echo State Networks
A Review of Designs and Applications of Echo State Networks
Chenxi Sun
Moxian Song
linda Qiao
Hongyan Li
AAML
11
34
0
05 Dec 2020
A Review of Uncertainty Quantification in Deep Learning: Techniques,
  Applications and Challenges
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges
Moloud Abdar
Farhad Pourpanah
Sadiq Hussain
Dana Rezazadegan
Li Liu
...
Xiaochun Cao
Abbas Khosravi
U. Acharya
V. Makarenkov
S. Nahavandi
BDL
UQCV
42
1,877
0
12 Nov 2020
Deep Reservoir Networks with Learned Hidden Reservoir Weights using
  Direct Feedback Alignment
Deep Reservoir Networks with Learned Hidden Reservoir Weights using Direct Feedback Alignment
Matthew Evanusa
Cornelia Fermuller
Yiannis Aloimonos
AI4TS
11
1
0
13 Oct 2020
Predicting Critical Transitions in Multiscale Dynamical Systems Using
  Reservoir Computing
Predicting Critical Transitions in Multiscale Dynamical Systems Using Reservoir Computing
S. H. Lim
L. T. Giorgini
W. Moon
J. Wettlaufer
14
4
0
10 Aug 2019
Analysis of Wide and Deep Echo State Networks for Multiscale
  Spatiotemporal Time Series Forecasting
Analysis of Wide and Deep Echo State Networks for Multiscale Spatiotemporal Time Series Forecasting
Zachariah Carmichael
Humza Syed
Dhireesha Kudithipudi
11
5
0
01 Jul 2019
Comparison of Deep Neural Networks and Deep Hierarchical Models for
  Spatio-Temporal Data
Comparison of Deep Neural Networks and Deep Hierarchical Models for Spatio-Temporal Data
C. Wikle
BDL
35
19
0
22 Feb 2019
Mod-DeepESN: Modular Deep Echo State Network
Mod-DeepESN: Modular Deep Echo State Network
Zachariah Carmichael
Humza Syed
Stuart Burtner
Dhireesha Kudithipudi
9
14
0
01 Aug 2018
Deep Echo State Networks with Uncertainty Quantification for
  Spatio-Temporal Forecasting
Deep Echo State Networks with Uncertainty Quantification for Spatio-Temporal Forecasting
Patrick L. McDermott
C. Wikle
BDL
13
77
0
28 Jun 2018
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