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Approaching Optimal Nonlinear Dimensionality Reduction by a Spiking Neural Network
2021
Electronics
This work deals with the presentation of a spiking neural network as a means for efficiently solving the reduction of dimensionality of data in a nonlinear manner. The underneath neural model, which can be integrated as neuromorphic hardware, becomes suitable for intelligent processing in edge computing within Internet of Things systems. In this sense, to achieve a meaningful performance with a low complexity one-layer spiking neural network, the training phase uses the metaheuristic Artificial
doi:10.3390/electronics10141679
fatcat:rz2stouydjdbramapjtarv346a