Sökning: "Artificiellt neuronnät"
Visar resultat 1 - 5 av 22 uppsatser innehållade orden Artificiellt neuronnät.
1. Learning Based Road Estimation
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : The interest in autonomous driving has vastly increased, leading to a surge in research and development efforts over the past decades. This technology could enhance road safety, alleviate traffic congestion, and yield numerous environmental and economic benefits. LÄS MER
2. A machine learning approach leveraging technical- and sentiment analysis to forecast price movements in major crypto currencies
Master-uppsats, KTH/Matematik (Avd.)Sammanfattning : This paper uses a back-propagating neural network (BPN) to predict the price movements of major crypto currencies, leveraging technical factors as well as measurements of collective sentiment derived from the micro-blogging network Twitter. Our dataset consists of daily, hourly and minutely price levels for Bitcoin, Ether and Litecoin along with 8 popular technical indicators, as well as all tweets with the currencies' cash tags during respective time periods. LÄS MER
3. Machine Learning-Based Data-Driven Traffic Flow Estimation from Mobile Data
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Comprehensive information on traffic flow is essential for vehicular emission monitoring and traffic control. However, such information is not observable everywhere and anytime on the road because of high installation costs and malfunctions of stationary sensors. LÄS MER
4. Maskininlärning för automatisk extrahering av citat från recensioner : Med användning av BERT, Inter-Sentence Transformer och artificiella neuronnätverk
M1-uppsats, KTH/Hälsoinformatik och logistikSammanfattning : Att manuellt välja en eller flera meningar ur en filmrecension att använda som citat kan vara en tidskrävande uppgift. Denna rapport utvärderar övervakade maskininlärningsmodeller för att skapa en prototyp som automatiskt kan välja lämpliga citat ur recensioner. LÄS MER
5. Water Anomaly Detection Using Federated Machine Learning
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : With the rapid increase of Internet of Things-devices(IoT), demand for new machine learning algorithms and modelshas risen. The focus of this project is implementing a federatedlearning (FL) algorithm to detect anomalies in measurementsmade by a water monitoring IoT-sensor. LÄS MER