Título: Pipelined On-Line Back-Propagation Training of an Artificial Neural Network on a Parallel Multiprocessor System
Autores: Silva, Tiago M. da; Braga, Antônio de P.; Lacerda, Wilian S.
Resumo: This work presents an on-chip learning of artificial neural networks in a FPGA multiprocessor system, where each neuron is implemented in a soft-core processor. In order to take maximum advantage of the distributed architecture, a pipelined version of the on-line back-propagation algorithm is used, providing a high degree of parallelism between neuron layers and, hence, a higher speed-up in relation to a sequential implementation.
Palavras-chave: NIOS; FPGA; multiprocessors; backpropagation; pipeline; artificial neural networks
Páginas: 4
Código DOI: 10.21528/lmln-vol8-no2-art5
Artigo em PDF: vol8-no2-art5.pdf
Arquivo BibTex: vol8-no2-art5.bib