Sökning: "Paper machine model"

Visar resultat 1 - 5 av 210 uppsatser innehållade orden Paper machine model.

1. 1. The Power of Credit Scoring: Evaluating Machine Learning and Traditional Models in Swedish Retail Banking

   Master-uppsats, Göteborgs universitet/Graduate School

   Författare :Emma von der Burg; Saga Strömberg; [2023-06-29]
   Nyckelord :;

   Sammanfattning : In this paper, we investigate and compare different credit scoring models, with special attention paid to machine learning approaches outperforming traditional models. We explore a recently proposed method called the PLTR model, which is a combination of machine learning and traditional logistic regression. LÄS MER

3. 2. Optimizing on-chip Machine Learning for Data Prefetching

   Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

   Författare :Hampus Larsson; Miranda Jernberg; Albin Pansell; Fabian Stigsson; Fredrik Hamrefors; Pontus Söderström; [2023-03-03]
   Nyckelord :Data Prefetching; Machine Learning; HW SW co-Design; HLS; FPGA;

   Sammanfattning : The idea behind data prefetching is to speed up program execution by predicting what data is needed by the processor, before it is actually needed. Data prefetching is commonly performed by prefetching the next memory address in line, but there are other, more sophisticated approaches such as machine learning. LÄS MER

4. 3. Predictive Modeling and Statistical Inference for CTA returns : A Hidden Markov Approach with Sparse Logistic Regression

   Master-uppsats, Umeå universitet/Institutionen för matematik och matematisk statistik

   Författare :Oskar Fransson; [2023]
   Nyckelord :Probability theory; Statistical inference; finance; CTA; managed futures; machine learning; statistical learning; stochastic process; sparse logistic regression; Markov Chain Monte Carlo; Hidden Markov model;

   Sammanfattning : This thesis focuses on predicting trends in Commodity Trading Advisors (CTAs), also known as trend-following hedge funds. The paper applies a Hidden Markov Model (HMM) for classifying trends. Additionally, by incorporating additional features, a regularized logistic regression model is used to enhance prediction capability. LÄS MER

5. 4. Artificial Neural Networks for Financial Time Series Prediction

   Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

   Författare :Dana Malas; [2023]
   Nyckelord :artificial neural networks; time series analysis; deep learning; finance; long short-term memory; simple moving average;

   Sammanfattning : Financial market forecasting is a challenging and complex task due to the sensitivity of the market to various factors such as political, economic, and social factors. However, recent advances in machine learning and computation technology have led to an increased interest in using deep learning for forecasting financial data. LÄS MER

7. 5. Thermal Modelling of Permanent Magnet Synchronous Motor Windings in Heavy-Duty Electric Vehicles

   Master-uppsats, Linköpings universitet/Fordonssystem

   Författare :Ken Dahl; [2023]
   Nyckelord :PMSM; permanent magnet synchronous motor; synchronous motor; black-box modelling; black-box models; thermal modelling; lumped parameter thermal network; LPTN; electric machine; EM; EV; electric vehicle; winding;

   Sammanfattning : A significant challenge with permanent magnet synchronous motors (PMSMs) is thermal management. Thermal stress can lead to irreversible damage to components, and to enable efficient cooling, a thermal model is needed. LÄS MER