Artificial Intelligence Tools: Decision Support Systems in by Diego Galar Pascual

By Diego Galar Pascual

Artificial Intelligence instruments: choice aid structures in tracking and Diagnosis discusses numerous white- and black-box methods to fault prognosis in situation tracking (CM). This integral resource:



  • Addresses nearest-neighbor-based, clustering-based, statistical, and knowledge theory-based techniques

  • Considers the benefits of every strategy in addition to the problems linked to real-life application

  • Covers class tools, from neural networks to Bayesian and aid vector machines

  • Proposes fuzzy good judgment to give an explanation for the uncertainties linked to diagnostic procedures

  • Provides facts units, pattern indications, and MATLAB® code for set of rules testing

Artificial Intelligence instruments: determination help platforms in situation tracking and analysis delivers an intensive overview of the most recent AI instruments for CM, describing the commonest fault analysis concepts used and the knowledge received while those concepts are applied.

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