ANOVA method applied to proton exchange membrane fuel cell ageing forecasting using an echo state network
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Publication:2228945
DOI10.1016/j.matcom.2015.06.009OpenAlexW2224715553MaRDI QIDQ2228945
S. Jemei, D. Hissel, S. Morando, R. Gouriveau, Noureddine Zerhouni
Publication date: 19 February 2021
Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.matcom.2015.06.009
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Uses Software
Cites Work
- Model-based diagnosis for proton exchange membrane fuel cells
- Artificial intelligence techniques: An introduction to their use for modelling environmental systems
- Echo state networks with filter neurons and a delay\&sum readout
- Support-vector networks
- Neural networks for modelling and control of dynamic systems. A practitioner's handbook
- Optimization and applications of echo state networks with leaky- integrator neurons
- Automatic speech recognition using a predictive echo state network classifier
- Learning grammatical structure with Echo State Networks
- Three-factor profile analysis with GARCH innovations
- A Bayesian decision network approach for assessing the ecological impacts of salinity management
- Training Recurrent Networks by Evolino
- Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations
- Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates
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