%J Lecture Notes in Electrical Engineering
%T Performance comparison between MLP neural network and exponential curve fitting on airwaves data
%V 279 LN
%R 10.1007/978-3-642-41674-3₁₅₀
%P 1079-1087
%I Springer Verlag
%D 2014
%A M. Abdulkarim
%A A. Shafie
%A W.F.W. Ahmad
%A R. Razali
%L scholars5424
%K Computer science; Curve fitting, Airwaves; Coefficient of determination; CSEM; Exponential curves; MSE; Multi layer perceptron; SSE, Mean square error
%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.
%C Danang
%O 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