By Diego Galar Pascual
Artificial Intelligence instruments: choice help platforms in situation tracking and Diagnosis discusses a number of white- and black-box methods to fault analysis in tracking (CM). This essential resource:
- Addresses nearest-neighbor-based, clustering-based, statistical, and knowledge theory-based techniques
- Considers the advantages of every procedure in addition to the problems linked to real-life application
- Covers type tools, from neural networks to Bayesian and aid vector machines
- Proposes fuzzy common sense to give an explanation for the uncertainties linked to diagnostic tactics
- Provides info units, pattern indications, and MATLAB® code for set of rules testing
Artificial Intelligence instruments: determination help structures in tracking and analysis delivers an intensive review of the newest AI instruments for CM, describing the commonest fault prognosis suggestions used and the information received while those recommendations are applied.
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Additional resources for Artificial Intelligence Tools: Decision Support Systems in Condition Monitoring and DIagnosis
Artificial Intelligence Tools: Decision Support Systems in Condition Monitoring and DIagnosis by Diego Galar Pascual