Sökning: "Recurrent Neural networks"

Visar resultat 1 - 5 av 251 uppsatser innehållade orden Recurrent Neural networks.

1. 1. Predicting Electricity Consumption with ARIMA and Recurrent Neural Networks

   Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

   Författare :Klara Enerud; [2024]
   Nyckelord :time series forecasting; ARIMA; recurrent neural networks; LSTM; electricity forecasting; EED forecasting;

   Sammanfattning : Due to the growing share of renewable energy in countries' power systems, the need for precise forecasting of electricity consumption will increase. This paper considers two different approaches to time series forecasting, autoregressive moving average (ARMA) models and recurrent neural networks (RNNs). LÄS MER

3. 2. Time Series Forecasting on Database Storage

   Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

   Författare :Pranav Patel; [2024]
   Nyckelord :Machine Learning; Time Series Forecasting; Prediction; Neural Networks; CNN; RNN; Database Storage;

   Sammanfattning : Time Series Forecasting has become vital in various industries ranging from weather forecasting to business forecasting. There is a need to research database storage solutions for companies in order to optimize resource allocation, enhance decision making process and enable predictive data storage maintenance. LÄS MER

4. 3. 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

5. 4. 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

7. 5. Primary Drivers of Sea Level Variability in the North – Baltic Sea Transition Using Machine Learning

   Master-uppsats, Göteborgs universitet/Institutionen för geovetenskaper

   Författare :David Ek; [2023-01-09]
   Nyckelord :;

   Sammanfattning : Global mean sea level is rising, however not uniformly. Regional deviations of sea surface height (SSH) are common due to local drivers, including surface winds, ocean density stratifications, vertical land- & crustal movements and more. LÄS MER