Vol. 7 No. 3
Year: 2013
Issue: Jan-Mar
Title : A
Comparative Study of Prediction in Seabed Mapping
Author Name : Ghedhban
Swadi, Karim Al-jebory, Dave Holifield
Synopsis :
In this paper, the performance of two dynamic neural network
based predictors in seabed mapping is investigated. The two types of predictors
are; the Focused Time- Delay Neural Network (FTDNN) based predictor and the
Nonlinear Autoregressive Network with Exogenous Inputs (NARX) predictor. A
testing platform has been developed that consists of seabed simulator and sonar
simulator. Results show the NARX predictor outperforms the FTDNN predictor.
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