Sökning: "Recurrent Neuralt Network"

Visar resultat 16 - 20 av 27 uppsatser innehållade orden Recurrent Neuralt Network.

1. 16. Predict Next Location of Users using Deep Learning

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Xing Guan; [2019]
   Nyckelord :Back-Propagation Algorithm; Neural Network; GRU; Recurrent;

   Sammanfattning : Predicting the next location of a user has been interesting for both academia and industry. Applications like location-based advertising, traffic planning, intelligent resource allocation as well as in recommendation services are some of the problems that many are interested in solving. LÄS MER

3. 17. Aktieprediktion med neurala nätverk : En jämförelse av statistiska modeller, neurala nätverk och kombinerade neurala nätverk

   Master-uppsats, Blekinge Tekniska Högskola/Institutionen för industriell ekonomi

   Författare :Gustav Oskarsson; [2019]
   Nyckelord :neural network; stock market; recurrent neural network; neuralt nätverk; aktiemarknad; recurrent neural network;

   Sammanfattning : This study is about prediction of the stockmarket through a comparison of neural networks and statistical models. The study aims to improve the accuracy of stock prediction. Much of the research made on predicting shares deals with statistical models, but also neural networks and then mainly the types RNN and CNN. LÄS MER

4. 18. Anomaly Detection in Streaming Data from a Sensor Network

   Master-uppsats, KTH/Matematisk statistik

   Författare :Egill Vignisson; [2019]
   Nyckelord :Anomaly Detection; Sequential Data; Semi-supervised Learning; Recurrent Neural Network; Applied Mathematics; Anomalidetektion; sekventiell data; halv-övervakad maskininlärning; återkommande neuralt nätverk; tillämpad matematik.;

   Sammanfattning : In this thesis, the use of unsupervised and semi-supervised machine learning techniques was analyzed as potential tools for anomaly detection in the sensor network that the electrical system in a Scania truck is comprised of. The experimentation was designed to analyse the need for both point and contextual anomaly detection in this setting. LÄS MER

5. 19. A Recurrent Neural Network For Battery Capacity Estimations In Electrical Vehicles

   Magister-uppsats, Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakulteten

   Författare :Simon Corell; [2019]
   Nyckelord :Recurrent Neuralt Network; LSTM; Linear Regression; Lithium-Ion battery; Data pre-processing; Feature Selection.;

   Sammanfattning : This study is an investigation if a recurrent long short-term memory (LSTM) based neural network can be used to estimate the battery capacity in electrical cars. There is an enormous interest in finding the underlying reasons why and how Lithium-ion batteries ages and this study is a part of this broader question. LÄS MER

7. 20. Time series Forecast of Call volume in Call Centre using Statistical and Machine Learning Methods

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Nicoló Baldon; [2019]
   Nyckelord :Time Series Analysis; SARIMA; Seasonal ANN; LSTM; Call Center data; seasonal time series;

   Sammanfattning : Time series is a collection of points gathered at regular intervals. Time series analysis explores the time correlations and tries to model it according to trend and seasonality. One of the most relevant tasks, in time series analysis, is forecasting future values, which is considered fundamental in many real-world scenarios. LÄS MER