Sökning: "Artificial Neural Network"

Visar resultat 1 - 5 av 286 uppsatser innehållade orden Artificial Neural Network.

  1. 1. Deep Autoencoders for Compression in High Energy Physics

    Master-uppsats, Lunds universitet/Partikelfysik; Lunds universitet/Fysiska institutionen

    Författare :Eric Wulff; [2020]
    Nyckelord :ATLAS; hadron jet; machine learning; autoencoder; dimensionality reduction; artificial intelligence; high energy physics; data compression; Physics and Astronomy;

    Sammanfattning : Current technological limitations make it impossible to store the enormous amount of data produced from proton-proton collisions by the ATLAS detector at CERN's Large Hadron Collider. Therefore, specialised hardware and software is being used to decide what data, or which proton-proton \textit{collision events}, to save and which to discard. LÄS MER

  2. 2. Applicering av Long Short-Term Memory för prediktion av markdeformation på svensk järnväg : Utveckling av ett artificiellt neuralt nätverk för prediktion av kommande marksättningar på järnvägssträckan mellan Mölndal och Torrekulla

    Kandidat-uppsats, Högskolan Dalarna/Informatik; Högskolan Dalarna/Informatik

    Författare :William Wirsén; Martin Leijon; [2020]
    Nyckelord :Artificiell intelligens; artificial neural network; Long Short-Term Memory; InSAR; land subsidence; Recurrent Neural Network; Artificiell intelligens; artificiellt neurala nätverk; Long Short-Term Memory; InSAR; markdeformering; Recurrent Neural Network;

    Sammanfattning : The purpose of this study is to evaluate whether it is possible to predict future land subsidence on the railway line between Mölndal and Torrekulla. The prediction was made using Long Short-Term Memory; an artificial neural network with RNN architecture. LÄS MER

  3. 3. Effects of Video Compression formats on Neural Network Performance

    Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Marko Stanoevich; Jonathan Partain; [2019-11-18]
    Nyckelord :;

    Sammanfattning : The field of autonomous vehicles and driverless carsis a field which makes extensive use of machine learning andartificial intelligence, relying on it to make decisions. Thesedecisions require a vast amount of data in order to be properlyinferred. LÄS MER

  4. 4. Testing AI-democratization : What are the lower limits of textgeneration using artificial neural networks?

    Uppsats för yrkesexamina på grundnivå, Luleå tekniska universitet/Datavetenskap

    Författare :Lorentz Kinde; [2019]
    Nyckelord :;

    Sammanfattning : Articial intelligence is an area of technology which is rapidly growing. Considering it'sincreasing inuence in society, how available is it? This study attempts to create a web contentsummarizer using generative machine learning. LÄS MER

  5. 5. Unsupervised anomaly detection in time series with recurrent neural networks

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

    Författare :Josef Haddad; Carl Piehl; [2019]
    Nyckelord :;

    Sammanfattning : Artificial neural networks (ANN) have been successfully applied to a wide range of problems. However, most of the ANN-based models do not attempt to model the brain in detail, but there are still some models that do. An example of a biologically constrained ANN is Hierarchical Temporal Memory (HTM). LÄS MER