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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] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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