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Describing an Artificial Neural Network (ANN) using VHDL allows a further implementation of such a system on FPGA. Indeed, the principal point of using FPGA for ANNs is flexibility that gives it an advantage toward other systems like ASICS which are entirely dedicated to one unique architecture and allowance to parallel programming, which is inherent to ANN calculation system and one of their advantages...
The conversion of symbolic sequences into complex genomic signals reveals surprising regularities of genomes, both locally and at a global scale. This approach allows usage of standard signal processing methods for the nucleotide sequences analysis and specifically for the prediction of nucleotides when knowing the preceding ones in a sequence. In this paper we propose variety of methods and ways...
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