relation: https://khub.utp.edu.my/scholars/882/
title: Forward modeling of seabed logging with controlled source electromagnetic method using multilayer perceptron
creator: Arif, A.
creator: Asirvadam, V.S.
creator: Karsiti, M.N.
description: Forward modeling is an important step in processing data of seabed logging (SBL) with controlled source electromagnetic (CSEM) method to determine the location of a hydrocarbon layer under the seafloor. In this research, forward modeling was conducted using a multi layer perceptron (MLP), which is an important type of artificial neural networks. To train this MLP, a data set was generated using simulation software: COMSOL Multiphysics. The MLP designed has 3 layers with 3 neurons in input layer and 1 neuron in output layer. The single hidden layer contained neurons whose number had been varied between 3 until 15 neurons. The performance comparison showed that the MLP with 10 neurons in its hidden layer was the best to model SBL with CSEM method. © 2010 IEEE.
date: 2010
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Arif, A. and Asirvadam, V.S. and Karsiti, M.N.  (2010) Forward modeling of seabed logging with controlled source electromagnetic method using multilayer perceptron.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-79953048315&doi=10.1109%2fAPACE.2010.5720090&partnerID=40&md5=353fe62768963a29c26da0b61a34a2a7
relation: 10.1109/APACE.2010.5720090
identifier: 10.1109/APACE.2010.5720090