%0 Journal Article %T Modified 1D Multilevel DWT Segmented ANN Algorithm to Reduce Edge Distortion %A KDW N %A Liwan Liyanage-Hansen %A MDT Attygalle %A WMND Basnayake %A alal %J American Journal of Applied Mathematics and Statistics %D 2019 %R 10.12691/ajams-7-1-4 %X In spite of the ability of Arti£¿cial Neural Network (ANN) to handle nonlinear relationships in data, there are instances where ANNs have not been able to predict accurately in the presence of non-stationarity. A novel algorithm that has the ability to treat the nonstationary and nonlinearity in a time series had been presented in [1]. This paper presents a modification done to the algorithm via addressing the edge distortion that arises in the real time execution. The proposed algorithm in [1] was named as ¡°1D Multilevel DWT Segmented ANN Algorithm¡± where the modified algorithm presented in this paper will be called as ¡°Denoised 1D Multilevel DWT Segmented ANN Algorithm¡± %U http://www.sciepub.com/AJAMS/abstract/9968