By Diego Galar Pascual
Artificial Intelligence instruments: determination help structures in situation tracking and Diagnosis discusses a number of white- and black-box techniques to fault analysis in situation tracking (CM). This vital resource:
- Addresses nearest-neighbor-based, clustering-based, statistical, and data theory-based techniques
- Considers the benefits of every approach in addition to the problems linked to real-life application
- Covers category tools, from neural networks to Bayesian and help vector machines
- Proposes fuzzy good judgment to provide an explanation for the uncertainties linked to diagnostic strategies
- Provides info units, pattern indications, and MATLAB® code for set of rules testing
Artificial Intelligence instruments: choice help platforms in situation tracking and analysis delivers an intensive overview of the most recent AI instruments for CM, describing the commonest fault prognosis ideas used and the information received whilst those options are applied.
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Extra 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