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model based analysis

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Published By: TIBCO Software GmbH     Published Date: Jan 15, 2019
Gradient Boosting Machine (GBM) modeling is a powerful machine learning technique for advanced root cause analysis in manufacturing. It will uncover problems that would be missed by regression-based statistical modelling techniques and single tree methods, but can easily be used by analysts with no expertise in statistics and modelling to solve complex problems. It is an excellent choice for advanced equipment commonality analysis and will detect interactions between process factors (for example, machines, recipes, process dates) that are responsible for bad product. It can also be used to identify complex nonlinear relationships and interactions between product quality measurements (for example, yield, defects, field returns) and upstream measurements from the product, process, equipment, component, material, or environment.
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TIBCO Software GmbH
Published By: IBM     Published Date: Feb 27, 2014
This is a paper on model based requirements analysis where best practices in using modeling for requirements analysis and how that links with requirements management is discussed.
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ibm, ibm software, systems engineering, best practices, model-based analysis, verifiable, it systems, customer needs, modification, system design, implementation, validation, implementation defects, requirements models, delivery platform, hardware, specification model, requirements, it management
    
IBM
Published By: IBM     Published Date: Sep 02, 2009
This webcast presents the IBM® Rational® HarmonyT for Systems Engineering process for the model-based systems development.
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model-based systems engineering, ibm, ibm rational harmonyt, model-based systems development, uml and sysml languages, requirements analysis, design synthesis, interface definition
    
IBM
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