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      • Department of Electrical and Electronics Engineering
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      Seven tuning schemes for an ADALINE model to predict floor pressures in a subsonic cavity flow

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      Author(s)
      Efe, M. Ö.
      Debiasi, M.
      Yan, P.
      Özbay, Hitay
      Samimy, M.
      Date
      2009
      Source Title
      Transactions of the Institute of Measurement and Control
      Print ISSN
      0142-3312
      Electronic ISSN
      1477-0369
      Publisher
      Sage Publications Ltd.
      Volume
      31
      Issue
      1
      Pages
      97 - 112
      Language
      English
      Type
      Article
      Item Usage Stats
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      Abstract
      This paper presents a simple yet effective one-step-ahead predictor based on an adaptive linear element (ADALINE). Several tuning schemes are studied to see whether the obtained model is consistent. The process under investigation is a subsonic cavity flow system. The experimental data obtained from the system is post-processed to obtain a useful predictor. The contribution of the paper is to demonstrate that despite the spectral richness of the observed data, a simple model with various tuning schemes can help to a satisfactory extent. Seven algorithms are studied, including the least mean squares (LMS), recursive least squares (RLS), modified Kaczmarz's algorithm (MK), stochastic approximation algorithm (SA), gradient descent (GD), Levenbergĝ€ "Marquardt optimization technique (LM) and sliding mode-based tuning (SM). The model and its properties are discussed comparatively.
      Keywords
      ADALINE
      Prediction
      Subsonic cavity flows
      Permalink
      http://hdl.handle.net/11693/22846
      Published Version (Please cite this version)
      https://doi.org/10.1177/0142331208090964
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      • Department of Electrical and Electronics Engineering 3868
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