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Name
Kaiserslauterer uniweiter elektronischer Dokumentenserver
Type
Institutional Repository
Items
3478 Publications
Compatibility
OpenAIRE Basic (DRIVER OA)
OAI-PMH
http://kluedo.ub.uni-kl.de/oai
More information
Detailed data provider information (OpenDOAR)

 

  • A uniform central limit theorem for neural network based autoregressive processes with applications to change-point analysis

    Kirch, Claudia; Tadjuidje Kamgaing, Joseph (2011)
    We consider an autoregressive process with a nonlinear regression function that is modeled by a feedforward neural network. We derive a uniform central limit theorem which is useful in the context of change-point analysis. We propose a test for a change in the autoregression function which - by the uniform central limit theorem - has asymptotic power one for a large class of alternatives including local alternatives.

    Natural Neighbor Interpolation - Critical Assessment and New Contributions

    Bobach, Tom Axel (2009)
    In engineering and science, a multitude of problems exhibit an inherently geometric nature. The computational assessment of such problems requires an adequate representation by means of data structures and processing algorithms. One of the most widely adopted and recognized spatial data structures is the Delaunay triangulation which has its canonical dual in the Voronoi diagram. While the Voronoi diagram provides a simple and elegant framework to model spatial proximity, the core of which is ...

    Fracture Mechanical Analysis of Failure Processes in Antarctic Ice Shelves

    Plate, Carolin (2015)
    This thesis treats the application of configurational forces for the evaluation of fracture processes in Antarctic ice shelves. FE simulations are used to analyze the influence of geometric scales, material parameters and boundary conditions on single surface cracks. A break-up event at the Wilkins Ice Shelf that coincided with a major temperature drop motivates the consideration of frost wedging as a mechanism for ice shelf disintegration. An algorithm for the evaluation of the crack propaga...

    American-style Option Pricing and Improvement of Regression-based Monte Carlo Methods by Machine Learning Techniques

    Tang, Songyin (2015)
    In this dissertation, we discuss how to price American-style options. Our aim is to study and improve the regression-based Monte Carlo methods. In order to have good benchmarks to compare with them, we also study the tree methods. In the second chapter, we investigate the tree methods specifically. We do research firstly within the Black-Scholes model and then within the Heston model. In the Black-Scholes model, based on Müller's work, we illustrate how to price one dimensional and multid...

    Einsatz konnektionistischer Lernmethoden für die technische Diagnose

    Forkel, M.; Müller, M.; Weber, M. (1999)
    In diesem Beitrag werden konnektionistische Lernverfahren für die wissensbasierte Diagnose technischer Systeme vorgestellt. Es werden zwei Problemstellungen untersucht: die Prognose von Signalverläufen technischer Zustandsgrössen sowie die diagnostische Klassifikation von Systemzuständen und die Ergebnisse der Untersuchungen dargestellt.
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