An evolutionary approach to optimising neural network predictors for passive sonar target tracking

Object tracking is important in autonomous robotics, military applications, financial time-series forecasting, and mobile systems. In order to correctly track through clutter, algorithms which predict the next value in a time series are essential. The competence of standard machine learning techniqu...

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Bibliographic Details

Main Author:	Duncan Smith
Format:	Default Thesis
Published:	2009
Subjects:	Other information and computing sciences not elsewhere classified untagged Information and Computing Sciences not elsewhere classified
Online Access:	https://hdl.handle.net/2134/26870
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