Sökning: "Artificial Neural Network"

Visar resultat 1 - 5 av 361 uppsatser innehållade orden Artificial Neural Network.

  1. 1. Ljudklassificering med Tensorflow och IOT-enheter : En teknisk studie

    Kandidat-uppsats, Mittuniversitetet/Institutionen för informationssystem och –teknologi

    Författare :David Karlsson; [2020]
    Nyckelord :Unix; Raspberry Pi; IOT; Raspbian; Tensorflow; Keras; Machine Learning; Deep learning; Librosa; Python; Convolution neural network; MFCC; STFT; PyAudio.; Unix; Raspberry Pi; IOT; Raspbian; Tensorflow; Keras; Machine Learning; Deep learning; Librosa; Python; Convolution neural network; MFCC; STFT; PyAudio.;

    Sammanfattning : Artificial Inteligens and machine learning has started to get established as reco- gnizable terms to the general masses in their daily lives. Applications such as voice recognicion and image recognicion are used widely in mobile phones and autonomous systems such as self-drivning cars. LÄS MER

  2. 2. Combined CALPHAD and Machine Learning for Property Modelling

    Master-uppsats, KTH/Materialvetenskap

    Författare :Kyle Paulus; [2020]
    Nyckelord :;

    Sammanfattning : Techniques to improve the speed at which materials are researched and developed has been conducted by investigating the machine learning methodology. These techniques offer solutions to connect the length scales of material prop- erties from atomistic and chemical features using materials databases generated from collected data. LÄS MER

  3. 3. Using Neural Networks to Identify Infected Files for Protection against Ransomware

    Master-uppsats, Linköpings universitet/Medie- och InformationsteknikLinköpings universitet/Tekniska högskolan

    Författare :David Eriksson; [2020]
    Nyckelord :;

    Sammanfattning : This master thesis report presents the development process and result of an artificial neural network model that can predict if a file has been encrypted. It was developed as a stand alone component that can be implemented in to a backup system. LÄS MER

  4. 4. NSGA-II DESIGN FOR FEATURE SELECTION IN EEG CLASSIFICATION RELATED TO MOTOR IMAGERY

    Kandidat-uppsats, Mälardalens högskola/Akademin för innovation, design och teknik

    Författare :Robin Johansson; [2020]
    Nyckelord :;

    Sammanfattning : Feature selection is an important step regarding Electroencephalogram (EEG) classification, for a Brain-Computer Interface (BCI) systems, related to Motor Imagery (MI), due to large amount of features, and few samples. This makes the classification process computationally expensive, and limits the BCI systems real-time applicability. LÄS MER

  5. 5. Prediction of Dose Probability Distributions Using Mixture Density Networks

    Master-uppsats, KTH/Matematisk statistik

    Författare :Viktor Nilsson; [2020]
    Nyckelord :Applied mathematics; machine learning; deep learning; mixture density network; dose planning; Tillämpad matematik; maskininlärning; djupinlärning; mixturdensitetsnätverk; dosplannerning;

    Sammanfattning : In recent years, machine learning has become utilized in external radiation therapy treatment planning. This involves automatic generation of treatment plans based on CT-scans and other spatial information such as the location of tumors and organs. LÄS MER