Sökning: "Initialization methods"
Visar resultat 1 - 5 av 32 avhandlingar innehållade orden Initialization methods.
1. Initialization Methods for System Identification
Sammanfattning : In the system identification community a popular framework for the problem of estimating a parametrized model structure given a sequence of input and output pairs is given by the prediction-error method. This method tries to find the parameters which maximize the prediction capability of the corresponding model via the minimization of some chosen cost function that depends on the prediction error. LÄS MER
2. Construction of Adaptive Multistep Methods for Problems with Discontinuities, Invariants, and Constraints
Sammanfattning : Adaptive multistep methods have been widely used to solve initial value problems. These ordinary differential equations (ODEs) may arise from semi-discretization of time-dependent partial differential equations(PDEs) or may combine with some algebraic equations to represent a differential algebraic equations (DAEs). LÄS MER
3. A Signal Processing Approach to Practical Neurophysiology : A Search for Improved Methods in Clinical Routine and Research
Sammanfattning : Signal processing within the neurophysiological field is challenging and requires short processing time and reliable results. In this thesis, three main problems are considered.First, a modified line source model for simulation of muscle action potentials (APs) is presented. LÄS MER
4. Processes important for forecasting of clouds over snow
Sammanfattning : The Swedish Armed Forces setup of the Weather Research and Forecasting Model (WRF) has problems to forecast low clouds in stably stratified conditions when the ground is covered by snow. The aim of this thesis is to understand what causes this deficit. LÄS MER
5. System Identification with Multi-Step Least-Squares Methods
Sammanfattning : The purpose of system identification is to build mathematical models for dynam-ical systems from experimental data. With the current increase in complexity of engineering systems, an important challenge is to develop accurate and computa-tionally simple algorithms, which can be applied in a large variety of settings. LÄS MER