@incollection{, 7D17CEBB8227ACE64C0723724AB3E09F , author={{YongboLiao} and {University of Electronic Science and Technology of China}}, journal={{Global Journal of Researches in Engineering}}, journal={{GJRE}}2249-45960975-586110.34257/gjre, address={Cambridge, United States}, publisher={Global Journals Organisation}1754549 } @book{b0, , title={{The " echo state " approach to analysing and training recurrent neural networks}} , author={{ HJaeger }} , year={2010} , note={with an Erratum note 1. GMD Report} } @incollection{b1, , title={{Real-time computing without stable states: a new framework for neural computation based on perturbations}} , author={{ WMaass } and { Natschl } and { TGer } and { HMarkram }} , journal={{Neural Computation}} 14 11 , year={2002} } @incollection{b2, , title={{FPGA based spike-time dependent encoder and reservoir design in neuromorphic computing processors}} , author={{ YYi } and { YLiao } and { BWang } and { XFu } and { FShen } and { HHou } and { LLiu }} 10.1016/j.micpro.2016.03.009 , journal={{Microprocessors and Microsystems}} 46 , year={2015} } @book{b3, , title={{An Introduction to Delay-Coupled Reservoir Computing. Artificial Neural Networks}} , author={{ JSchumacher } and { HToutounji } and { GPipa }} , year={2015} , publisher={Springer International Publishing} } @incollection{b4, , title={{Laser dynamical reservoir computing with consistency: an approach of a chaos mask signal}} , author={{ JNakayama } and { KKanno } and { AUchida }} 10.1364/OE.24.008679 , journal={{Optics Express}} 24 8 8679 , year={2016} } @incollection{b5, , title={{A novel model of leaky integrator echo state network for time-series prediction}} , author={{ SXLun } and { XSYao } and { HYQi } and { HFHu }} , journal={{Neurocomputing}} 159 1 , year={2015} } @incollection{b6, , title={{Survey: reservoir computing approaches to recurrent neural network training}} , author={{ MantasLuko?evi?ius } and { HJaeger }} , journal={{Computer Science Review}} 3 3 , year={2009} } @incollection{b7, , title={{Using digital masks to enhance the bandwidth tolerance and improve the performance of on-chip reservoir computing systems}} , author={{ BSchneider } and { JDambre } and { PBienstman }} , journal={{IEEE Transactions on Neural Networks & Learning Systems}} 27 12 , year={2016} } @book{b8, , title={{Reservoir computing with a slowly modulated mask signal for preprocessing using a mutually coupled optoelectronic system}} , author={{ MTezuka } and { KKanno } and { MBunsen }} , year={2016} 55 } @incollection{b9, , title={{Multiclass Prediction of Wind Power Ramp Events Combining Reservoir Computing and Support Vector Machines}} , author={{ ManuelDorado-Moreno } and { AntonioManuel Dur´an-Rosal } and { DavidGuijo-Rubio } and { PedroAntonioGuti´errez1 } and { LP } and { SanchoSalcedo-Sanz } and { CAs-Mart´ } and { H }} 10.1007/978-3-319-44636-3_28 , journal={{Canadian Conference on AI}} 9868 , year={2016} } @incollection{b10, , title={{Electrocardiogram classification using reservoir computing with logistic regression}} , author={{ MAEscalona-Morán } and { MCSoriano } and { IFischer } and { CRMirasso }} 10.1109/JBHI.2014.2332001 , journal={{IEEE Journal of Biomedical and Health Informatics}} 19 3 , year={2015} } @incollection{b11, , title={{Real-Time Reservoir Computing Network-Based Systems for Detection Tasks on Visual Contents}} , author={{ AJalalvand } and { GWallendael } and { Van } and { RWalle } and { Van De }} 10.1109/CICSyN.2015.35 , booktitle={{Proceedings -7th International Conference on Computational Intelligence, Communication Systems and Networks}} -7th International Conference on Computational Intelligence, Communication Systems and NetworksCICSyN , year={2015. 2015} } @incollection{b12, , title={{Distributed reservoir computing with sparse readouts}} , author={{ SScardapane } and { MPanella } and { DComminiello } and { AHussain } and { AUncini }} , journal={{IEEE Computational Intelligence Magazine}} 11 4 , year={2016} , note={research frontier} } @incollection{b13, , title={{Simultaneous computation of two independent tasks using reservoir computing based on a single photonic nonlinear node with optical feedback}} , author={{ ModesteNguimdo } and { RVerschaffelt } and { GDanckaert } and { JVan Der } and { GSande }} 10.1109/TNNLS.2015.2404346 , journal={{IEEE Transactions on Neural Networks and Learning Systems}} 26 12 , year={2015} } @incollection{b14, , title={{Autonomous bio-inspired photonic processor based on reservoir computing paradigm}} , author={{ QVinckier } and { FDuport } and { ASmerieri } and { SMassar } and { MHaelterman }} , booktitle={{IEEE 2016 Summer Topicals Meeting Series}} , publisher={IEEE} , year={2016} } @incollection{b15, , title={{Information processing using a single dynamical node as complex system}} , author={{ LAppeltant } and { MCSoriano } and { GV DSande } and { JDanckaert } and { SMassar } and { JDambre }} , journal={{Nature Communications}} 2 9 468 , year={2011} } @incollection{b16, , title={{Multiclass Prediction of Wind Power Ramp Events Combining Reservoir Computing and Support Vector Machines}} , author={{ ManuelDorado-Moreno } and { AntonioManuel Dur´an-Rosal } and { DavidGuijo-Rubio } and { PedroAntonioGuti´errez1 } and { LP } and { SanchoSalcedo-Sanz } and { CAs-Mart´ } and { H }} 10.1007/978-3-319-44636-3_28 , journal={{Canadian Conference on AI}} 9868 , year={2016} } @incollection{b17, , title={{Real-Time Reservoir Computing Network-Based Systems for Detection Tasks on Visual Contents}} , author={{ AJalalvand } and { GWallendael } and { Van } and { RWalle } and { Van De }} 10.1109/CICSyN.2015.35 , booktitle={{Proceedings -7th International Conference on Computational Intelligence, Communication Systems and Networks}} -7th International Conference on Computational Intelligence, Communication Systems and NetworksCICSyN , year={2015. 2015} } @incollection{b18, , title={{High-speed all-optical pattern recognition of dispersive fourier images through a photonic reservoir computing subsystem}} , author={{ CMesaritakis } and { ABogris } and { AKapsalis } and { DSyvridis }} , journal={{Optics Letters}} 40 14 , year={2015} } @book{b19, , author={{ FPalumbo } and { CGallicchio } and { RPucci } and { AMicheli }} , title={{of Ambient Intelligence & Smart Environments}} , year={2015} 8 } @book{b20, , author={{ SG T ABezerra } and { CB DAndrade } and { MJ SValença }} , title={{Using Reservoir Computing and Trend Information for Short-Term Stream flow Forecasting. Artificial Neural Networks and Machine Learning -ICANN}} , year={2016. 2016} } @book{b21, , title={{A Reservoir Computing Approach for Balance Assessment. Advanced Analysis and Learning on Temporal Data}} , author={{ CGallicchio } and { AMicheli } and { LPedrelli } and { LFortunati } and { FVozzi } and { OParodi }} , year={2016} , publisher={Springer International Publishing} } @incollection{b22, , title={{Autonomous bio-inspired photonic processor based on reservoir computing paradigm}} , author={{ QVinckier } and { FDuport } and { ASmerieri } and { SMassar } and { MHaelterman }} , booktitle={{IEEE 2016 Summer Topicals Meeting Series}} , publisher={IEEE} , year={2016} } @book{b23, , author={{ STakeda } and { DNakano } and { TYamane } and { GTanaka } and { RNakane } and { AHirose }} , title={{Photonic Reservoir Computing Based on Laser Dynamics}} , year={2016} }