PSO-based growing echo state network
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[1] Adel M. Alimi,et al. PSO-based analysis of Echo State Network parameters for time series forecasting , 2017, Appl. Soft Comput..
[2] Christian Igel,et al. Structure optimization of reservoir networks , 2010, Log. J. IGPL.
[3] Chee Kheong Siew,et al. Universal Approximation using Incremental Constructive Feedforward Networks with Random Hidden Nodes , 2006, IEEE Transactions on Neural Networks.
[4] Roger Labahn,et al. Design Strategies for Weight Matrices of Echo State Networks , 2012, Neural Computation.
[5] Peter Tiño,et al. Minimum Complexity Echo State Network , 2011, IEEE Transactions on Neural Networks.
[6] Jiabin Wang,et al. Functional echo state network for time series classification , 2016, Inf. Sci..
[7] Witold Pedrycz,et al. Hybrid Neural Prediction and Optimized Adjustment for Coke Oven Gas System in Steel Industry , 2012, IEEE Transactions on Neural Networks and Learning Systems.
[8] Harald Haas,et al. Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communication , 2004, Science.
[9] Akinori Nishihara,et al. Evolutionary pre-training for CRJ-type reservoir of echo state networks , 2015, Neurocomputing.
[10] Junfei Qiao,et al. Growing Echo-State Network With Multiple Subreservoirs , 2017, IEEE Transactions on Neural Networks and Learning Systems.
[11] Eduardo Sontag,et al. Turing computability with neural nets , 1991 .
[12] Yiannis Demiris,et al. Spatio-Temporal Learning With the Online Finite and Infinite Echo-State Gaussian Processes , 2015, IEEE Transactions on Neural Networks and Learning Systems.
[13] Yoshua Bengio,et al. Learning long-term dependencies with gradient descent is difficult , 1994, IEEE Trans. Neural Networks.
[14] Xuefeng Yan,et al. Optimizing the echo state network based on mutual information for modeling fed-batch bioprocesses , 2017, Neurocomputing.
[15] Mantas Lukosevicius,et al. A Practical Guide to Applying Echo State Networks , 2012, Neural Networks: Tricks of the Trade.
[16] Herbert Jaeger,et al. Reservoir computing approaches to recurrent neural network training , 2009, Comput. Sci. Rev..
[17] Zhidong Deng,et al. Collective Behavior of a Small-World Recurrent Neural System With Scale-Free Distribution , 2007, IEEE Transactions on Neural Networks.
[18] Yuhui Shi,et al. Particle swarm optimization: developments, applications and resources , 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).
[19] Simon Haykin,et al. Decoupled echo state networks with lateral inhibition , 2007, Neural Networks.
[20] Lei Wang,et al. Design of polynomial echo state networks for time series prediction , 2018, Neurocomputing.
[21] Amir Hussain,et al. Multilayered Echo State Machine: A Novel Architecture and Algorithm , 2017, IEEE Transactions on Cybernetics.
[22] Xiaohua Wang,et al. Echo State Networks With Orthogonal Pigeon-Inspired Optimization for Image Restoration , 2016, IEEE Transactions on Neural Networks and Learning Systems.
[23] Danilo P. Mandic,et al. An Augmented Echo State Network for Nonlinear Adaptive Filtering of Complex Noncircular Signals , 2011, IEEE Transactions on Neural Networks.
[24] Yan Meng,et al. > Replace This Line with Your Paper Identification Number (double-click Here to Edit) < 1 , 2022 .
[25] Lin Lin,et al. Genetic algorithm optimized double-reservoir echo state network for multi-regime time series prediction , 2017, Neurocomputing.
[26] Danilo P. Mandic,et al. Quaternion-Valued Echo State Networks , 2015, IEEE Transactions on Neural Networks and Learning Systems.
[27] Henry Leung,et al. Prediction Intervals for a Noisy Nonlinear Time Series Based on a Bootstrapping Reservoir Computing Network Ensemble , 2013, IEEE Transactions on Neural Networks and Learning Systems.
[28] Xuefeng Yan,et al. Optimizing the echo state network with a binary particle swarm optimization algorithm , 2015, Knowl. Based Syst..
[29] Hans-Georg Zimmermann,et al. Recurrent Neural Networks are Universal approximators , 2007, Int. J. Neural Syst..
[30] Zhigang Zeng,et al. A novel echo state network for multivariate and nonlinear time series prediction , 2018, Appl. Soft Comput..
[31] John G. Harris,et al. Automatic speech recognition using a predictive echo state network classifier , 2007, Neural Networks.
[32] Pericles A. Mitkas,et al. Adaptive reservoir computing through evolution and learning , 2013, Neurocomputing.
[33] Xue-feng Yan,et al. Reservoir Computing with Sensitivity Analysis Input Scaling Regulation and Redundant Unit Pruning for Modeling Fed-Batch Bioprocesses , 2014 .
[34] Lorenzo Livi,et al. Investigating echo state networks dynamics by means of recurrence analysis , 2016, IEEE Trans. Neural Networks Learn. Syst..
[35] Marc Schoenauer,et al. Supervised and Evolutionary Learning of Echo State Networks , 2008, PPSN.
[36] Sadiq M. Sait,et al. Applications of Metaheuristics in Reservoir Computing Techniques: A Review , 2018, IEEE Access.
[37] Min Han,et al. Laplacian Echo State Network for Multivariate Time Series Prediction , 2018, IEEE Transactions on Neural Networks and Learning Systems.