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Citation(s) in
RCA
13
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For:
Wang H
, Yan X.
Improved simple deterministically constructed Cycle Reservoir Network with Sensitive Iterative Pruning Algorithm.
Neurocomputing
2014;
145
:353-62. [DOI:
10.1016/j.neucom.2014.05.024
]
[
Citation(s) in
RCA
: 23
]
[
Impact Index Per Article: 2.3
]
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[Indexed: 11/17/2022]
Number
Cited by Other Article(s)
1
Wang H
, Liu Y, Lu P, Luo Y, Wang D, Xu X. Echo state network with logistic mapping and bias dropout for time series prediction.
Neurocomputing
2022. [DOI:
10.1016/j.neucom.2022.03.018
]
[
Citation(s) in
RCA
: 3
]
[
Impact Index Per Article: 1.5
]
[
Reference Citation Analysis
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[Indexed: 10/18/2022]
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2
Wang L
, Su Z, Qiao J, Deng F. A pseudo-inverse decomposition-based self-organizing modular echo state network for time series prediction.
Appl Soft Comput
2022. [DOI:
10.1016/j.asoc.2021.108317
]
[
Citation(s) in
RCA
: 2
]
[
Impact Index Per Article: 1.0
]
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[Indexed: 11/30/2022]
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3
Wang H
, Wu QJ, Wang D, Xin J, Yang Y, Yu K. Echo state network with a global reversible autoencoder for time series classification.
Inf Sci (N Y)
2021. [DOI:
10.1016/j.ins.2021.04.074
]
[
Citation(s) in
RCA
: 5
]
[
Impact Index Per Article: 1.7
]
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[Indexed: 12/01/2022]
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4
Design of sparse Bayesian echo state network for time series prediction.
Neural Comput Appl
2021. [DOI:
10.1007/s00521-020-05477-3
]
[
Citation(s) in
RCA
: 2
]
[
Impact Index Per Article: 0.7
]
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[Indexed: 10/23/2022]
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5
Optimizing Deep Belief Echo State Network with a Sensitivity Analysis Input Scaling Auto-Encoder algorithm.
Knowl Based Syst
2020. [DOI:
10.1016/j.knosys.2019.105257
]
[
Citation(s) in
RCA
: 3
]
[
Impact Index Per Article: 0.8
]
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[Indexed: 11/17/2022]
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6
Liu J
, Sun T, Luo Y, Yang S, Cao Y, Zhai J. An echo state network architecture based on quantum logic gate and its optimization.
Neurocomputing
2020. [DOI:
10.1016/j.neucom.2019.09.002
]
[
Citation(s) in
RCA
: 14
]
[
Impact Index Per Article: 3.5
]
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[Indexed: 11/30/2022]
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7
Optimizing simple deterministically constructed cycle reservoir network with a Redundant Unit Pruning Auto-Encoder algorithm.
Neurocomputing
2019. [DOI:
10.1016/j.neucom.2019.05.035
]
[
Citation(s) in
RCA
: 5
]
[
Impact Index Per Article: 1.0
]
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[Indexed: 11/23/2022]
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8
Dynamical regularized echo state network for time series prediction.
Neural Comput Appl
2018. [DOI:
10.1007/s00521-018-3488-z
]
[
Citation(s) in
RCA
: 12
]
[
Impact Index Per Article: 2.0
]
[
Reference Citation Analysis
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[Indexed: 10/17/2022]
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9
Adaptive lasso echo state network based on modified Bayesian information criterion for nonlinear system modeling.
Neural Comput Appl
2018. [DOI:
10.1007/s00521-018-3420-6
]
[
Citation(s) in
RCA
: 14
]
[
Impact Index Per Article: 2.3
]
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[Indexed: 10/17/2022]
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10
Han HG
, Zhang S, Qiao JF. An adaptive growing and pruning algorithm for designing recurrent neural network.
Neurocomputing
2017. [DOI:
10.1016/j.neucom.2017.02.038
]
[
Citation(s) in
RCA
: 20
]
[
Impact Index Per Article: 2.9
]
[
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[Indexed: 10/20/2022]
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11
Wang H
, Ni C, Yan X. Optimizing the echo state network based on mutual information for modeling fed-batch bioprocesses.
Neurocomputing
2017. [DOI:
10.1016/j.neucom.2016.11.007
]
[
Citation(s) in
RCA
: 14
]
[
Impact Index Per Article: 2.0
]
[
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[Indexed: 10/20/2022]
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12
Energy consumption prediction of office buildings based on echo state networks.
Neurocomputing
2016. [DOI:
10.1016/j.neucom.2016.08.004
]
[
Citation(s) in
RCA
: 61
]
[
Impact Index Per Article: 7.6
]
[
Reference Citation Analysis
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[Indexed: 11/20/2022]
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13
Neural network training and rule extraction with augmented discretized input.
Neurocomputing
2016. [DOI:
10.1016/j.neucom.2016.05.040
]
[
Citation(s) in
RCA
: 13
]
[
Impact Index Per Article: 1.6
]
[
Reference Citation Analysis
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[Indexed: 11/23/2022]
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