Bi-level multi-objective evolution of a Multi-Layered Echo-State Network Autoencoder for data representations
(2019)
Journal Article
Chouikhi, N., Ammar, B., Hussain, A., & Alimi, A. M. (2019). Bi-level multi-objective evolution of a Multi-Layered Echo-State Network Autoencoder for data representations. Neurocomputing, 341, 195-211. https://doi.org/10.1016/j.neucom.2019.03.012
The Multi-Layered Echo-State Network (ML-ESN) is a recently developed, highly powerful type of recurrent neural network. It has succeeded in dealing with several non-linear benchmark problems. On account of its rich dynamics, ML-ESN is exploited in t... Read More about Bi-level multi-objective evolution of a Multi-Layered Echo-State Network Autoencoder for data representations.