F. Benevenuti, Á. B. de Oliveira, Israel C. Lopes, F. Kastensmidt, N. Added, V. Aguiar, Nilberto H. Medina, M. Guazzelli
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Heavy Ions Testing of an All-Convolutional Neural Network for Image Classification Evolved by Genetic Algorithms and Implemented on SRAM-Based FPGA
This work investigates the vulnerability of an image classification engine under heavy-ions accelerated irradiation. The engine is based on all-convolutional neural-network trained with the GTSRB traffic sign recognition benchmark and embedded into 28nm SRAM-based FPGA.
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