Sökning: "Sequential Importance Sampling"

Visar resultat 1 - 5 av 6 avhandlingar innehållade orden Sequential Importance Sampling.

  1. 1. Metamodel-Based Multidisciplinary Design Optimization of Automotive Structures

    Författare :Ann-Britt Ryberg; Larsgunnar Nilsson; Anirban Basudhar; Linköpings universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; multidisciplinary design optimization MDO ; metamodel; artificial neural network ANN ; support vector machine SVM ; sequential sampling; crashworthiness; automotive structure; spot weld optimization;

    Sammanfattning : Multidisciplinary design optimization (MDO) can be used in computer aided engineering (CAE) to efficiently improve and balance performance of automotive structures. However, large-scale MDO is not yet generally integrated within automotive product development due to several challenges, of which excessive computing times is the most important one. LÄS MER

  3. 2. Bayesian Inference for Nonlinear Dynamical Systems : Applications and Software Implementation

    Författare :Jerker Nordh; Institutionen för reglerteknik; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Indoor Navigation; pyParticleEst; Software Implementation; Simultaneous Localization and Mapping; Parameter Estimation; System Identification; Sequential Importance Sampling; Particle Filter; Bayesian Inference; Markov Chain Monte Carlo; Particle Smoother;

    Sammanfattning : The topic of this thesis is estimation of nonlinear dynamical systems, focusing on the use of methods such as particle filtering and smoothing. There are three areas of contributions: software implementation, applications of nonlinear estimation and some theoretical extensions to existing algorithms. LÄS MER

  4. 3. Understanding and Evaluating Policies for Sequential Decision-Making

    Författare :Anton Matsson; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Observational data; Sequential decision-making; Reinforcement learning; Off-policy evaluation; Rheumatoid arthritis;

    Sammanfattning : Sequential-decision making is a critical component of many complex systems, such as finance, healthcare, and robotics. The long-term goal of a sequential decision-making process is to optimize the policy under which decisions are made. LÄS MER

  5. 4. Optimal Subsampling Designs Under Measurement Constraints

    Författare :Henrik Imberg; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; inverse probability weighting; unequal probability sampling; optimal design; active sampling; M-estimation;

    Sammanfattning : We consider the problem of optimal subsample selection in an experiment setting where observing, or utilising, the full dataset for statistical analysis is practically unfeasible. This may be due to, e.g., computational, economic, or even ethical cost-constraints. LÄS MER

  7. 5. Four Essays on the Measurement of Productive Efficiency

    Författare :Dag Fjeld Edvardsen; Göteborgs universitet; []
    Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES;

    Sammanfattning : This collection of essays contains two kinds of contributions. All four essays include applications of the existing DEA (Data Envelopment Analysis) toolbox on real world datasets. But the main contribution is that they also offer new and useful tools for practitioners doing efficiency and productivity analysis. LÄS MER