An Intelligent Approach for Fast Detection of Biological Viruses in DNA Sequence

摘要

Fast detection of biological viruses in DNA sequence is very important for investigation of patients and overcome diseases. First, an intelligent algorithm to completely retrieve DNA sequence is presented. DNA codes that may be missed during the splitting process are retrieved by using Hopfield neural networks. Then, a new approach for fast detection of biological viruses like H1N1 and H1N5 in DNA sequence is presented. Such algorithm uses fast time delay neural networks (FTDNNs). The operation of these networks relies on performing cross correlation in the frequency domain between the input DNA sequence and the input weights of neural networks. It is proved mathematically and practically that the number of computation steps required for the presented FTDNNs is less than that needed by conventional time delay neural networks (CTDNNs). Simulation results using MATLAB confirm the theoretical computations.