{"product_id":"artificial-intelligence-tools-paperback-softback","title":"Artificial Intelligence Tools - Paperback \/ softback","description":"\u003cp\u003e\u003cstrong\u003eArtificial Intelligence Tools: Decision Support Systems in Condition Monitoring and Diagnosis\u003c\/strong\u003e discusses various white- and black-box approaches to fault diagnosis in condition monitoring (CM). This indispensable resource:\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e \u003cbr\u003e\u003cbr\u003e\u003cli\u003eAddresses nearest-neighbor-based, clustering-based, statistical, and information theory-based techniques\u003c\/li\u003e \u003cbr\u003e\u003cbr\u003e\u003cli\u003eConsiders the merits of each technique as well as the issues associated with real-life application\u003c\/li\u003e \u003cbr\u003e\u003cbr\u003e\u003cli\u003eCovers classification methods, from neural networks to Bayesian and support vector machines\u003c\/li\u003e \u003cbr\u003e\u003cbr\u003e\u003cli\u003eProposes fuzzy logic to explain the uncertainties associated with diagnostic processes \u003c\/li\u003e \u003cbr\u003e\u003cbr\u003e\u003cli\u003eProvides data sets, sample signals, and MATLAB® code for algorithm testing\u003c\/li\u003e \u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eArtificial Intelligence Tools: Decision Support Systems in Condition Monitoring and Diagnosis \u003c\/b\u003edelivers a thorough evaluation of the latest AI tools for CM, describing the most common fault diagnosis techniques used and the data acquired when these techniques are applied.\u003c\/p\u003e","brand":"Taylor \u0026 Francis","offers":[{"title":"Default Title","offer_id":45600550256878,"sku":"9780367738358","price":77.59,"currency_code":"AUD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0630\/9612\/7726\/files\/9780367738358.jpg?v=1721473288","url":"https:\/\/bookland.com.au\/products\/artificial-intelligence-tools-paperback-softback","provider":"Book Land AU","version":"1.0","type":"link"}