@article{scholars5424,
            note = {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},
         journal = {Lecture Notes in Electrical Engineering},
            year = {2014},
       publisher = {Springer Verlag},
             doi = {10.1007/978-3-642-41674-3{$_1$}{$_5$}{$_0$}},
           title = {Performance comparison between MLP neural network and exponential curve fitting on airwaves data},
          volume = {279 LN},
         address = {Danang},
           pages = {1079--1087},
        abstract = {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. {\^A}{\copyright} 2014 Springer-Verlag Berlin Heidelberg.},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84898477418&doi=10.1007\%2f978-3-642-41674-3\%5f150&partnerID=40&md5=5e0a7c81e2aff7d85cf5487e7e2e10da},
            issn = {18761100},
        keywords = {Computer science; Curve fitting, Airwaves; Coefficient of determination; CSEM; Exponential curves; MSE; Multi layer perceptron; SSE, Mean square error},
          author = {Abdulkarim, M. and Shafie, A. and Ahmad, W. F. W. and Razali, R.},
            isbn = {9783642416736}
}