Sökning: "Linear and Nonlinear Classification"

Visar resultat 1 - 5 av 17 avhandlingar innehållade orden Linear and Nonlinear Classification.

1. 1. Machine Learning Methods Using Class-specific Subspace Kernel Representations for Large-Scale Applications

   Författare :Yinan Yu; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; class-specific kernels; large-scale framework; subspace model; classification; kernel approximation; RKHS;

   Sammanfattning : Kernel techniques became popular due to and along with the rising success of Support Vector Machines (SVM). During the last two decades, the kernel idea itself has been extracted from SVM and is now widely studied as an independent subject. LÄS MER

3. 2. System identification of large-scale linear and nonlinear structural dynamicmodels

   Författare :Vahid Yaghoubi Nasrabadi; Chalmers tekniska högskola; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Finite element model; Surrogate modeling; Bootstrapping; Polynomial chaos expansion; System identification; Exponential integration; Uncertainty quantification;

   Sammanfattning : System identification is a powerful technique to build a model from measurement data by using methods from different fields such as stochastic inference, optimization and linear algebra. It consists of three steps: collecting data, constructing a mathematical model and estimating its parameters. LÄS MER

4. 3. On Fault Detection, Diagnosis and Monitoring for Induction Motors

   Författare :Mohammed Obaid Mustafa; Mohamed El Hachemi Benbouzid; Luleå tekniska universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Model based fault detection and diagnosis; Model free fault detection; Set Membership Identification SMI ; Uncertainty Bounds Violation Method; Model based Support Vector Classification; Linear and Nonlinear Classification; Minimum Volume Ellipsoid method; Broken Rotor Bars; Faults of Induction Motors; Three phase induction motor; Reglerteknik; Control Engineering;

   Sammanfattning : In this thesis, multiple methods and different approaches have been established and evaluated successfully, in order to detect and diagnose the faults of induction motors (IMs). The aim of this thesis is to present novel fault detection and isolation methods for the case of induction machines that would have the merit to be implemented online and being characterized by specific novel capabilities, when compared with the existing techniques. LÄS MER

5. 4. On Detection and Estimation of Multiple Sources in Radar Array Processing

   Författare :Jonny Eriksson; Chalmers tekniska högskola; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; spatially correlated noise; Cramer-Rao bounds; estimation; feature reduction; virtual uniform linear arrays; classification; adaptive data reduction; nonlinear weighted least squares; multiple targets; detection;

   Sammanfattning : This thesis deals with detection and estimation problems in sensor array signal processing. We treat the multiple hypothesis problem for complex sinusoids observed in spatially colored noise. LÄS MER

7. 5. Projection Techniques for Classification and Identification

   Författare :David Lindgren; Lennart Ljung; Linköpings universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

   Sammanfattning : It is very well understood how to evaluate and find, in different senses, optimal linear projections of measurements on linear systems. The solution to the linear least squares problem, the principal component analysis and partial least squares are all examples of well known techniques that work very well as long as the dependencies in data are fairly linear. LÄS MER