eprintid: 5424
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/54/24
datestamp: 2023-11-09 16:17:09
lastmod: 2023-11-09 16:17:09
status_changed: 2023-11-09 16:01:37
type: article
metadata_visibility: show
creators_name: Abdulkarim, M.
creators_name: Shafie, A.
creators_name: Ahmad, W.F.W.
creators_name: Razali, R.
title: Performance comparison between MLP neural network and exponential curve fitting on airwaves data
ispublished: pub
keywords: Computer science; Curve fitting, Airwaves; Coefficient of determination; CSEM; Exponential curves; MSE; Multi layer perceptron; SSE, Mean square error
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
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. © 2014 Springer-Verlag Berlin Heidelberg.
date: 2014
publisher: Springer Verlag
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84898477418&doi=10.1007%2f978-3-642-41674-3_150&partnerID=40&md5=5e0a7c81e2aff7d85cf5487e7e2e10da
id_number: 10.1007/978-3-642-41674-3₁₅₀
full_text_status: none
publication: Lecture Notes in Electrical Engineering
volume: 279 LN
place_of_pub: Danang
pagerange: 1079-1087
refereed: TRUE
isbn: 9783642416736
issn: 18761100
citation:   Abdulkarim, M. and Shafie, A. and Ahmad, W.F.W. and Razali, R.  (2014) Performance comparison between MLP neural network and exponential curve fitting on airwaves data.  Lecture Notes in Electrical Engineering, 279 LN.  pp. 1079-1087.  ISSN 18761100