Sökning: "inverse problem"
Visar resultat 1 - 5 av 121 uppsatser innehållade orden inverse problem.
1. Limited angle reconstruction for 2D CT based on machine learning
Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)Sammanfattning : The aim of this report is to study how machine learning can be used to reconstruct 2 dimensional computed tomography images from limited angle data. This could be used in a variety of applications where either the space or timeavailable for the CT scan limits the acquired data.In this study, three different types of models are considered. LÄS MER
2. Approach for frequency response-calibration for microphone arrays
M1-uppsats, KTH/Hälsoinformatik och logistikSammanfattning : Matched frequency responses are a fundamental starting point for a variety ofimplementations for microphone arrays. In this report, two methods for frequencyresponse-calibration of a pre-assembled microphone array are presented andevaluated. LÄS MER
3. An Empirical Investigation of The Effect of Proxy Response and The Merits of Its Remedial Measures
Magister-uppsats, Högskolan Dalarna/Institutionen för information och teknikSammanfattning : In the event of missing data, substitution of data from proxy sources are usually considered a very useful alternative when available to avoid the problem of missingness. Nonetheless, research has also shown that this approach often induces “response bias”. LÄS MER
4. Short-horizon Prediction of Indoor Temperature using Low-Order Thermal Networks : A case study of thermal models for heat-system control applications
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Optimizing and controlling the heating systems in buildings is one way to decrease their load on the power grid, as well as introduce load flexibility to be used in Demand Response (DR) applications. A requirement in occupied buildings is that the thermal comfort of the residents is guaranteed, making the optimization of heating systems a constrained problem with respect to indoor temperature. LÄS MER
5. Solving Partial Differential Equations With Neural Networks
Master-uppsats, Uppsala universitet/Matematiska institutionenSammanfattning : In this thesis three different approaches for solving partial differential equa-tions with neural networks will be explored; namely Physics-Informed NeuralNetworks, Fourier Neural Operators and the Deep Ritz method. Physics-Informed Neural Networks and the Deep Ritz Method are unsupervised machine learning methods, while the Fourier Neural Operator is a supervised method. LÄS MER