DNA Sequence Classification Using Power Spectrum and Wavelet Neural Network

In this paper, we present a new method to cluster DNA sequence. The proposed method is based on using the Power Spectrum and the Wavelet Neural Network (WNN). The satisfying performance of the Wavelet Neural Networks (WNN) depends on an appropriate determination of the WNN structure. Our approach uses the Least Trimmed Square (LTS) to select the wavelet candidates from the Multi Library of the Wavelet Neural Networks (MLWNN) for constructing the WNN. The LTS has been able to optimize the wavelet neural network. The LTS algorithm is to find the regressors, which provide the most significant contribution to the approximation of error reduction. This wavelet can reduce the approximation error.