Sökning: "LSTM Neural Network"
Visar resultat 1 - 5 av 13 avhandlingar innehållade orden LSTM Neural Network.
1. Institutions, Inequality and Societal Transformations
Sammanfattning : Institutions matter for economic development. This thesis consists of three self-contained articles which provide different contributions to institutional economics.The first article studies short-run changes in gender norms. It takes advantage of recent developments in machine learning algorithms to study changes in norms in Swedish tweets. LÄS MER
2. Applications of artificial neural networks for time series data analysis in energy domain
Sammanfattning : With the development of artificial intelligence techniques and increased installation of smart meters in recent years, time series analysis using historical data in the energy domain becomes applicable. In this thesis, microdata analysis approaches are used, which consist of data acquisition, data processing, data analysis and data modelling, aiming to address two research problems in the energy domain. LÄS MER
3. Drill Failure Detection based on Sound using Artificial Intelligence
Sammanfattning : In industry, it is crucial to be able to detect damage or abnormal behavior in machines. A machine's downtime can be minimized by detecting and repairing faulty components of the machine as early as possible. It is, however, economically inefficient and labor-intensive to detect machine fault sounds manual. LÄS MER
4. Modern developments in insurance: IFRS 17 and LSTM forecasting
Sammanfattning : The papers presented here cover two different themes, both with applications in life insurance. The focus in the first paper is on determining the financial position and performance of an insurance company, in a accordance with IFRS 17. LÄS MER
5. Machine learning for building energy system analysis
Sammanfattning : Buildings account for approximately 40% of the global energy, and Heating, Ventilation, and Air Conditioning (HVAC) contributes to a large proportion of building energy consumption. Two main negative characteristics that contribute to performance degradation and energy waste in an HVAC system are inappropriate control strategies and faults. LÄS MER