Sökning: "feedforward"

Visar resultat 1 - 5 av 141 uppsatser innehållade ordet feedforward.

  1. 1. Using Machine Learning to Optimize Near-Earth Object Sighting Data at the Golden Ears Observatory

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

    Författare :Laura Murphy; [2023]
    Nyckelord :Near-Earth Object Detection; Machine Learning; Deep Learning; Visual Transformers;

    Sammanfattning : This research project focuses on improving Near-Earth Object (NEO) detection using advanced machine learning techniques, particularly Vision Transformers (ViTs). The study addresses challenges such as noise, limited data, and class imbalance. LÄS MER

  3. 2. Winter Wheat Harvest Prediction Using Primarily Satellite Radar Data from Sentinel-1

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Oliver Persson Bogdanovski; Christoffer Svenningsson; [2023]
    Nyckelord :Precision Agriculture; Sentinel-1 SAR; Machine Learning; Winter Wheat; Harvest Prediction; RFI-filtering; Despeckling; Mathematics and Statistics;

    Sammanfattning : Aiding farmers with their tremendous task of sustainably and cost-efficiently feeding the world is of utmost importance. Information technology plays a crucial role in supporting farmers and supplying them with accurate information about their crops. LÄS MER

  4. 3. Online Minimum Jerk Velocity Trajectory Generation : for Underwater Drones

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

    Författare :Jakob Andrén; [2023]
    Nyckelord :reference generation; minimum jerk; rov; underwater drones; trajectory;

    Sammanfattning : This thesis studies real-time reference ramping of human input for remotely operated vehicles and its effect on system control, power usage, and user experience. The implementation, testing, and evaluation were done on the remotely operated Blueye Pioneer underwater drone. LÄS MER

  5. 4. Let Us Put Our Brains in the Spotlight – Literally!

    Kandidat-uppsats, Lunds universitet/Examensarbeten i molekylärbiologi

    Författare :Elsa Karjalainen; [2023]
    Nyckelord :Biology and Life Sciences;

    Sammanfattning : Neurons are the working force in each vertebrate’s nervous system. These small cells have the important task of transferring information in the form of electrical charges called action potentials. Neurons make it possible for us to sense touch, process our environment, and store memory. LÄS MER

  7. 5. Temporal Localization of Representations in Recurrent Neural Networks

    Master-uppsats, Högskolan Dalarna/Institutionen för information och teknik

    Författare :Asadullah Najam; [2023]
    Nyckelord :Recurrent Neural Networks RNNs ; Deep Learning; Time Series Prediction; Exploding Values; Gradient Decay; Long Short-Term Memory LSTMs ; Gated Recurrent Units GRUs ; Attention Mechanism; Moving Representations; Localizing Representations;

    Sammanfattning : Recurrent Neural Networks (RNNs) are pivotal in deep learning for time series prediction, but they suffer from 'exploding values' and 'gradient decay,' particularly when learning temporally distant interactions. Long Short-Term Memory (LSTM) and Gated Recurrent Units (GRU) have addressed these issues to an extent, but the precise mitigating mechanisms remain unclear. LÄS MER