Sökning: "Extreme learning machine"

Visar resultat 1 - 5 av 69 uppsatser innehållade orden Extreme learning machine.

1. 1. Drivers of sea level variability using neural networks

   Master-uppsats, Göteborgs universitet/Institutionen för geovetenskaper

   Författare :Linn Carlstedt; [2023-05-10]
   Nyckelord :;

   Sammanfattning : Understanding the forcing of regional sea level variability is crucial as many people all over the world live along the coasts and are endangered by extreme sea levels and the global sea level rise. The adding of fresh water into the oceans due to melting of the Earth’s land ice together with thermosteric changes has led to a rise of the global mean sea level with an accelerating rate during the twentieth century. LÄS MER

3. 2. Monthly heatwave prediction in Sweden based on Machine Learning techniques with remote sensing data

   Master-uppsats, KTH/Hållbar utveckling, miljövetenskap och teknik

   Författare :Zhuoran Li; [2023]
   Nyckelord :Heatwave Prediction; Sweden; Machine Learning; Remote Sensing Data; Värmebölja förutsägelse; Sverige; Maskininlärning; Fjärravkänningsdata;

   Sammanfattning : Heatwave events as a kind of extreme climate event, have plagued the human race for the past few years. It severely influences people’s life quality, sometimes even leads to some serious diseases. In order to alleviate the possible damages heatwave events can do, some targeted actions are necessary and forecasting heatwaves is one of them. LÄS MER

4. 3. Control Aid Implementation -Modelling and simulation of triple extruder-

   Master-uppsats, Lunds universitet/Kemiteknik (CI)

   Författare :Karl Langsér; [2023]
   Nyckelord :Machine Learning; Extruder; Modelling; Simulation; Extreme learning machine; Chemical engineering; Technology and Engineering;

   Sammanfattning : In the production of their High Voltage Direct Current Cables (HVDC) and High Voltage Alternating Current Cables (HVAC), NKT uses triple extruders to create layers of insulation and semi-conduction. A model to predict the effect of extruder inputs on the cable’s insulation and semi-conducting layers has been created and trained to predict the extruder in discrete time. LÄS MER

5. 4. COMPARATIVE ANALYSIS OF MACHINE LEARNING LOAD FORECASTING TECHNIQUES

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

   Författare :Humphry Takang Bate; [2023]
   Nyckelord :;

   Sammanfattning : Load forecasting plays a critical role in energy management, and power systems, enabling efficient resource allocation, improved grid stability, and effective energy planning and distribution. Without accurate very short term load forecasting, utility management companies face uncertain load patterns, unrealistic prices, and poor infrastructure planning. LÄS MER

7. 5. Multi-Class Classification for Predicting Customer Satisfaction : Application of machine learning methods to predict customer satisfaction at IKEA

   Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

   Författare :Stina Backerholm; Malin Börjesjö; [2023]
   Nyckelord :Multi-Class Classification; Imbalanced Data; Machine Learning; Multi-Klass Klassifisering; Obalanserat Data; Maskininlärning;

   Sammanfattning : Gaining a comprehensive understanding of the features that contribute to customer satisfaction after contact with IKEA’s Remote Customer Meeting Points (RCMPs) is essential for implementing effective remedial measures in the future. The aim of this project is to investigate if it is possible to find key features that influence customer satisfaction and to use these to predict customer satisfaction. LÄS MER