Intelligence: the eye, the brain, and the computer
Intelligence: the eye, the brain, and the computer
Principal component neural networks: theory and applications
Principal component neural networks: theory and applications
Modeling systems with internal state using evolino
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Neural Networks: A Comprehensive Foundation (3rd Edition)
Neural Networks: A Comprehensive Foundation (3rd Edition)
Recurrent neural network based BER prediction for NLOS channels
Mobility '07 Proceedings of the 4th international conference on mobile technology, applications, and systems and the 1st international symposium on Computer human interaction in mobile technology
Predictive Modeling with Echo State Networks
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I
MULTI-LAYER CORRECTIVE CASCADE ARCHITECTURE FOR ON-LINE PREDICTIVE ECHO STATE NETWORKS
Applied Artificial Intelligence
Pruning and regularization in reservoir computing
Neurocomputing
Recurrent neural network based bit error rate prediction for narrowband fading channel
CSN '07 Proceedings of the Sixth IASTED International Conference on Communication Systems and Networks
Simple deterministically constructed recurrent neural networks
IDEAL'10 Proceedings of the 11th international conference on Intelligent data engineering and automated learning
Architectural and Markovian factors of echo state networks
Neural Networks
Research on design method of small world property ESN
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part I
Anti boundary effect wavelet decomposition echo state networks
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part I
Data-driven based model for flow prediction of steam system in steel industry
Information Sciences: an International Journal
Recurrent sparse support vector regression machines trained by active learning in the time-domain
Expert Systems with Applications: An International Journal
Simple deterministically constructed cycle reservoirs with regular jumps
Neural Computation
Survey: Reservoir computing approaches to recurrent neural network training
Computer Science Review
Neural Networks
Reservoir sizes and feedback weights interact non-linearly in echo state networks
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part I
Optimization of self-organizing polynomial neural networks
Expert Systems with Applications: An International Journal
The effect of lateral inhibitory connections in spatial architecture neural network
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part I
Modular state space of echo state network
Neurocomputing
Proceedings of the Fourth Symposium on Information and Communication Technology
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Building on some prior work, in this paper we describe a novel structure termed the decoupled echo state network (DESN) involving the use of lateral inhibition. Two low-complexity implementation schemes, namely, the DESN with reservoir prediction (DESN + RP) and DESN with maximum available information (DESN + MaxInfo), are developed: (1) In the multiple superimposed oscillator (MSO) problem, DESN + MaxInfo exhibits three important attributes: lower generalization mean-square error (MSE), better robustness with respect to the random generation of reservoir weight matrix and feedback connections, and robustness to variations in the sparseness of reservoir weight matrix, compared to DESN + RP. (2) For a noiseless nonlinear prediction task, DESN + RP outperforms the DESN + MaxInfo and single reservoir-based ESN approach in terms of lower prediction MSE and better robustness to a change in the number of inputs and sparsity of the reservoir weight matrix. Finally, in a real-life prediction task using noisy sea clutter data, both schemes exhibit higher prediction accuracy and successful design ratio than a conventional ESN with a single reservoir.