Spiking Echo State Convolutional Neural Network for Robust Time Series Classification
In this paper, a novel high-accuracy and robust computing framework for time series classification tasks is presented. The framework consists of a feature extraction module and a classification module, where the feature extraction is implemented by reservoir computing method of spiking neurons, and...
| Autores principales: | , , |
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| Formato: | Artículo |
| Lenguaje: | English |
| Publicado: |
IEEE
2019-01-01
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| Colección: | IEEE Access |
| Materias: | |
| Acceso en línea: | https://ieeexplore.ieee.org/document/8580574/ |