Neuromorphic learning machine based on stochastic reservoir computing for time series data processing and classification
Neuromorphic computing is a potential alternative to conventional von Neumann computers for specialised sensory-processing or classification applications. Neuromorphic systems replicate the biophysics of neurobiological networks by replicating the information processing mechanism of biological neuro...
Saved in:
因特网
http://eprints.utem.edu.my/id/eprint/27733/1/Neuromorphic%20learning%20machine%20based%20on%20stochastic%20reservoir%20computing%20for%20time%20series%20data%20processing%20and%20classification.pdfhttp://eprints.utem.edu.my/id/eprint/27733/2/Neuromorphic%20learning%20machine%20based%20on%20stochastic%20reservoir%20computing%20for%20time%20series%20data%20processing%20and%20classification.pdf