A Unified Framework for Reservoir Computing and Extreme Learning Machines based on a Single Time-delayed Neuron

Trends in extreme learning machines: A review

(2015) Gao Huang et al.   NEURAL NETWORKS

High-Speed Optical Vector and Matrix Operations Using a Semiconductor Laser

(2013) Daniel Brunner et al.   IEEE PHOTONICS TECHNOLOGY LETTERS

Parallel photonic information processing at gigabyte per second data rates using transient states

(2013) Daniel Brunner et al.   Nature Communications

Simple Deterministically Constructed Cycle Reservoirs with Regular Jumps

(2012) Ali Rodan et al.   NEURAL COMPUTATION

Reservoir computing and extreme learning machines for non-linear time-series data analysis

(2012) J.B. Butcher et al.   NEURAL NETWORKS

All-optical reservoir computing

(2012) François Duport et al.   OPTICS EXPRESS

Photonic information processing beyond Turing: an optoelectronic implementation of reservoir computing

(2012) L. Larger et al.   OPTICS EXPRESS

Optoelectronic Reservoir Computing

(2012) Y. Paquot et al.   Scientific Reports

Information Processing Capacity of Dynamical Systems

(2012) Joni Dambre et al.   Scientific Reports

Optimization Based Tumor Classification from Microarray Gene Expression Data

(2011) Onur Dagliyan et al.   PLoS One

Information processing using a single dynamical node as complex system

(2011) L. Appeltant et al.   Nature Communications

Nonlinear System Modeling With Random Matrices: Echo State Networks Revisited

(2011) Bai Zhang et al.   IEEE Transactions on Neural Networks and Learning Systems

Extreme learning machines: a survey

(2011) Guang-Bin Huang et al.   International Journal of Machine Learning and Cybernetics

Minimum Complexity Echo State Network

(2010) A Rodan et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

γ–C plane and robustness in static reservoir for nonlinear regression estimation

(2008) Zhiwei Shi et al.   NEUROCOMPUTING