%0 Journal Article
%@ 18761100
%A Abdulkarim, M.
%A Shafie, A.
%A Ahmad, W.F.W.
%A Razali, R.
%C Danang
%D 2014
%F scholars:5424
%I Springer Verlag
%J Lecture Notes in Electrical Engineering
%K Computer science; Curve fitting, Airwaves; Coefficient of determination; CSEM; Exponential curves; MSE; Multi layer perceptron; SSE, Mean square error
%P 1079-1087
%R 10.1007/978-3-642-41674-3₁₅₀
%T Performance comparison between MLP neural network and exponential curve fitting on airwaves data
%U https://khub.utp.edu.my/scholars/5424/
%V 279 LN
%X This study aims at comparing the performance of a Multi-Layer Feed-Forward Neural Network and exponential curve fitting Models for the estimation of airwaves associated with shallow water Controlled Source Electro-Magnetic (CSEM) data. The performance measure is based on Mean Square Error (MSE), Sum of Squares Error (SSE) and coefficient of determination (R2). The MLP-NN network produced better and superior results with low MSE of 1.13e-7, SSE of 0.00017 and higher R2 of 99.35. © 2014 Springer-Verlag Berlin Heidelberg.
%Z cited By 2; Conference of 5th FTRA International Conference on Computer Science and its Applications, CSA 2013 ; Conference Date: 18 December 2013 Through 21 December 2013; Conference Code:104420