Sökning: "Djupa faltningsnät"

Hittade 2 uppsatser innehållade orden Djupa faltningsnät.

  1. 1. Real-time Human Detection using Convolutional Neural Networks with FMCW RADAR RGB data

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Anna Phan; Rogelio Medina; [2022]
    Nyckelord :Human Detection; Machine Learning; Convolutional Neural Networks; YOLO; FMCW Radar; Human Detection Evaluation; Människodetektering; Maskininlärning; Neurala faltningsnät; Djupa faltningsnät; YOLO; FMCW Radar; Utvärdering;

    Sammanfattning : Machine learning has been employed in the automotive industry together with cameras to detect objects in surround sensing technology. You Only Look Once is a state-of-the-art object detection algorithm especially suitable for real-time applications due to its speed and relatively high accuracy compared to competing methods. LÄS MER

  3. 2. Evaluating deep learning models for electricity spot price forecasting

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

    Författare :Mia Zdybek; [2021]
    Nyckelord :Time series forecasting; Electricity price forecasting; Machine Learning; Deep learning; Multi-layer perceptron; Long short-term memory; Convolutional neural network; Tidsserieprediktion; Prognostisering av elspotpriser; Maskininlärning; Djupinlärning; Flerskikts-perceptron; Lågt korttidsminne; Neurala faltningsnät;

    Sammanfattning : Electricity spot prices are difficult to predict since they depend on different unstable and erratic parameters, and also due to the fact that electricity is a commodity that cannot be stored efficiently. This results in a volatile, highly fluctuating behavior of the prices, with many peaks. LÄS MER