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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Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumb...
Abstract
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 |
| ID Code: | 3829 |
| Deposited By: | Dr Vijanth Sagayan Asirvadam |
| Deposited On: | 04 Jan 2011 00:42 |
| Last Modified: | 04 Jan 2011 00:42 |
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