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Prediction and simulation of stochastic time series using a non-linear learning filter

The thesis is concerned with a specialised analogue computer which computes optimum, non-linear transfer functions using a learning technique. The machine can be used to solve filtering* prediction or simulation problems. The completion of its construction is described, and the results of several experiments on the computer, including a study of ship-motion prediction, are given. Some theoretical analysis of the method is presented together with suggestions for future research and development.
Date January 1963
CreatorsElson, Donald George
ContributorsGabor, D.
PublisherImperial College London
Source SetsEthos UK
Detected LanguageEnglish
TypeElectronic Thesis or Dissertation

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