Reservoir computing for temporal data classi fi cation using a dynamic solid electrolyte zno thin film transistor

HIGHLIGHTS

• who: Solid Electrolyte ZnO Thin and colleagues from the Department of Electronics and Communication, IIT Roorkee, Roorkee, India, Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, United Kingdom, Department of Computer Science, University of Sheffield have published the paper: Reservoir Computing for Temporal Data Classi fi cation Using a Dynamic Solid Electrolyte ZnO Thin Film Transistor, in the Journal: (JOURNAL)
• what: The schematic of this approach of down-sampling and comparison of results of a down-sampled feature using RC system versus a conventional approach are shown in Supplementary Figures S1 and S2 . . .
  

   

  

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