Fast Time Delay Neural Networks for Detecting DNA Coding Regions

Authors:
Hazem M. El-Bakry;Mohamed Hamada
Affiliations:
Faculty of Computer Science & Information Systems, Mansoura University, Egypt;University of Aizu, Aizu, Japan
Venue:
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part I
Year:
2009

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Abstract

In this paper, a new approach for fast information detection in DNA sequence has been presented. Our approach uses fast time delay neural networks (FTDNN). The operation of these networks relies on performing cross correlation in the frequency domain between the input data 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.