Bidirectional reservoir networks trained using SVM $$+$$ + privileged information for manufacturing process modeling

A decentralized training algorithm for Echo State Networks in distributed big data applications

(2016) Simone Scardapane et al.   NEURAL NETWORKS

Noninvasive fetal QRS detection using an echo state network and dynamic programming

(2014) Mantas Lukoševičius et al.   PHYSIOLOGICAL MEASUREMENT

Modelling hot rolling manufacturing process using soft computing techniques

(2013) Hossam Faris et al.   INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING

Short term memory in input-driven linear dynamical systems

(2013) Peter Tiňo et al.   NEUROCOMPUTING

Intelligent non-linear modelling of an industrial winding process using recurrent local linear neuro-fuzzy networks

(2012) Hasan Abbasi Nozari et al.   Journal of Zhejiang University-SCIENCE C-Computers & Electronics

Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange

(2010) Yakup Kara et al.   EXPERT SYSTEMS WITH APPLICATIONS

Connectivity, Dynamics, and Memory in Reservoir Computing with Binary and Analog Neurons

(2009) Lars Büsing et al.   NEURAL COMPUTATION

A new learning paradigm: Learning using privileged information

(2009) Vladimir Vapnik et al.   NEURAL NETWORKS

Time series prediction using evolving radial basis function networks with new encoding scheme

(2007) Haiping Du et al.   NEUROCOMPUTING