Geophysical inversion using multilayer perceptron

Agus, Arif and Asirvadam , Vijanth Sagayan and Karsiti , Mohd Noh (2009) Geophysical inversion using multilayer perceptron. In: IEEE Student Conference on Research and Development (SCOReD), 2009, 16-18 Novmber 2009, UPM Serdang, Selangor, Malaysia.

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This paper is a continuation report of the previous research on seabed logging (SBL). In this paper, it was shown that a certain geophysical inverse problem (such as one posed by SBL) can be solved using an important class of artificial neural networks, which is a multilayer perceptron (MLP). To show this, several sets of synthetic data has been generated using some assumed models of a physical property (such as seabed resistivity) distribution. Then, these pairs of data and models were used to train a MLP with a certain architecture. Finally, the trained MLP was tested to do inversion with new data and produced a predicted model. The predicted model was reasonably close to the true model and the mean square error (MSE) between them was 0.016.

Item Type: Conference or Workshop Item (Paper)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
G Geography. Anthropology. Recreation > GC Oceanography
Q Science > QC Physics
Departments / MOR / COE: Departments > Electrical & Electronic Engineering
Depositing User: Dr Vijanth Sagayan Asirvadam
Date Deposited: 04 Jan 2011 00:42
Last Modified: 04 Jan 2011 00:42

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