Search for dissertations about: "forward modelling"
Showing result 1 - 5 of 100 swedish dissertations containing the words forward modelling.
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1. Efficient Electromagnetic Induction Modelling : Adaptive mesh optimisation, advanced boundary methods and iterative solution techniques
Abstract : Forward modelling of electromagnetic induction data simulates the electric and magnetic fields within a computational domain for a given distribution of electromagnetic material properties and a given source of the electromagnetic field. The quantities of interest are the fields at receiver locations at the Earth's surface. READ MORE
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2. Rainfall-Runoff Modelling Using Artificial Neural Networks (ANNs)
Abstract : Over the last decades or so, artificial neural networks (ANNs) have become one of the most promising tools for modelling hydrological processes such as rainfall-runoff processes. In most studies, ANNs have been demonstrated to show superior result compared to the traditional modelling approaches. READ MORE
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3. On Kinematic Modelling and Iterative Learning Control of Industrial Robots
Abstract : Good models of industrial robots are necessary in a variety of applications, such as mechanical design, performance simulation, control, diagnosis, supervision and offline programming. This motivates the need for good modelling tools. In the first part of this thesis the forward kinematic modelling of serial industrial robots is studied. READ MORE
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4. Reluctantly Virtual : Modelling Copyright Industry Dynamics
Abstract : During the evolution of the music industry, developments in the media environment have required music firms to adapt in order to survive. Changes in broadcast radio programming during the 1950s; the Compact Cassette during the 1970s; and the deregulation of media ownership during the 1990s are all examples of changes which have heavily affected the music industry. READ MORE
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5. Modelling and Retrieval of Forest Parameters from Synthetic Aperture Radar Data
Abstract : Currently, one of the most uncertain factors in the global carbon cycle models lies in the terrestrialcarbon stock, mainly forests. The available methods for global forest resource mapping provide onlyrough estimates of biomass, the most relevant practical quantity related to carbon stock. READ MORE