Sökning: "recurrent neural networks"

Visar resultat 1 - 5 av 34 avhandlingar innehållade orden recurrent neural networks.

  1. 1. Machine Learning Methods for Image Analysis in Medical Applications, from Alzheimer's Disease, Brain Tumors, to Assisted Living

    Författare :Chenjie Ge; Chalmers tekniska högskola; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; convolutional neural networks; Alzheimer s disease detection; machine learning; deep learning; fall detection; glioma subtype classification; generative adversarial networks; recurrent convolutional networks; spiking neural networks; visual prosthesis; semi-supervised learning;

    Sammanfattning : Healthcare has progressed greatly nowadays owing to technological advances, where machine learning plays an important role in processing and analyzing a large amount of medical data. This thesis investigates four healthcare-related issues (Alzheimer's disease detection, glioma classification, human fall detection, and obstacle avoidance in prosthetic vision), where the underlying methodologies are associated with machine learning and computer vision. LÄS MER

  3. 2. Solar Wind and Geomagnetic Activity - Predictions Using Neural Networks

    Författare :Hans Gleisner; Astronomi - Genomgår omorganisation; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Geophysics; kosmisk kemi; rymdvetenskap; magnetosphere; solar wind; space weather; geomagnetic activity; geomagnetism; ring current; auroral electrojet; neural networks; forecasting; Astronomy; space research; Astronomi; cosmic chemistry; physical oceanography; meteorology; Geofysik; fysisk oceanografi; meteorologi; Fysicumarkivet A:2000:Gleisner;

    Sammanfattning : This thesis shows how artificial neural networks (ANNs) can be applied to predict geomagnetic activity from solar-wind data. It introduces and summarizes five papers where development of ANN models are reported, and where predictions of geomagnetic activity are discussed. LÄS MER

  4. 3. A Fault Detection Framework Using Recurrent Neural Networks for Condition Monitoring of Wind Turbines

    Författare :Yue Cui; Lina Bertling; Pramod Bangalore; Bikash C Pal; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; asset management; condition monitoring; fault detection; preventive maintenance; recurrent neural networks; two-stage threshold; wind power; kapitalförvaltning; underhållsstyrning; tillståndsövervakning; feldetektering; förebyggande underhåll; återkommande neurala nätverk; tvåstegs tröskel; vindkraft; Electrical Engineering; Elektro- och systemteknik;

    Sammanfattning : The global energy system is experiencing a transition to a sustainable system with ambitious targets for increased use of renewable energy. One key trend for this transition has been the large introduction of wind power and integration into the electricity grid. LÄS MER

  5. 4. Applications of artificial neural networks for time series data analysis in energy domain

    Författare :Fan Zhang; Hasan Fleyeh; Stawomir Nowaczyk; Högskolan Dalarna; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Deregulated energy market; electricity prices; district heating; energy efficiency; neural networks; Complex Systems – Microdata Analysis; Komplexa system - mikrodataanalys;

    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

  7. 5. Space Weather Physics: Dynamic Neural Network Studies of Solar Wind-Magnetosphere Coupling

    Författare :Jian-Guo Wu; Astronomi - Genomgår omorganisation; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Geophysics; kosmisk kemi; rymdvetenskap; Astronomi; cosmic chemistry; solar wind; space weather; magnetosphere; solar wind-magnetosphere coupling; geomagnetic activity; geomagnetic storms; predictions; modeling; neural networks; space research; Astronomy; physical oceanography; meteorology; Geofysik; fysisk oceanografi; meteorologi; Fysicumarkivet A:1997:Wu;

    Sammanfattning : This thesis presents studies of solar wind-magnetosphere coupling using dynamic neural networks in combination with statistically correlative analysis. The primary contribution of the thesis is dynamic neural network models that can be implemented for near real-time predictions of geomagnetic storms from the solar wind alone. LÄS MER