<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "Geophysical inversion using multilayer perceptron"^^ . "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. ©2009 IEEE."^^ . "2009" . . . "SCOReD2009 - Proceedings of 2009 IEEE Student Conference on Research and Development"^^ . . . . . . . . . . . . . . "A."^^ . "Arif"^^ . "A. Arif"^^ . . "V.S."^^ . "Al Asirvadam"^^ . "V.S. Al Asirvadam"^^ . . "M.N."^^ . "Bin Karsiti"^^ . "M.N. Bin Karsiti"^^ . . . . . "HTML Summary of #571 \n\nGeophysical inversion using multilayer perceptron\n\n" . "text/html" . .