Sökning: "Feed Forward Neural Networks"

Visar resultat 1 - 5 av 57 uppsatser innehållade orden Feed Forward Neural Networks.

  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. USING ARTIFICIAL NETWORKS IN COMPLEX PROBLEMS ANALYSING PARAMETERS INFLUENCE

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

    Författare :Shukri Birol Mehmed; [2023]
    Nyckelord :Artificial Intelligence AI ; Neural Networks; MLP; Complex Problem; Parameter; Analysis; Football;

    Sammanfattning : Mathematical statistical models are insufficient for describing complex phenomena. In contrast, Artificial Neural Networks (ANNs), have been used across various complex problem domains for solving problems. ANNs can learn complex patterns and capture non-linear relationships between parameters. LÄS MER

  4. 3. Synthesis of Neural Networks using SAT Solvers

    Kandidat-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Ludvig Warpe; August Johnson Palm; [2023]
    Nyckelord :Neural networks; Boolean satisfiability problems; SAT solvers;

    Sammanfattning : Artificial neural networks (ANN) have found extensive use in solving real-world problems in recent years, where their exceptional information processing is the main advantage. Facing increasingly complex problems, there is a need to improve their information processing. LÄS MER

  5. 4. Physics-Enhanced Machine Learning for Energy Systems

    Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknik

    Författare :Henrik Lindström; Emil Sundström; [2022]
    Nyckelord :Technology and Engineering;

    Sammanfattning : Building operations account for a large amount of energy usage and the HVAC (Heating, Ventilation and Air Conditioning) systems are the largest consumer of energy in this sector. To reduce this demand, more energy-efficient control algorithms are implemented and a popular choice for a controller is the model predictive control. LÄS MER

  7. 5. Solving Differential Equations using Data-Driven Adaptive Numerical Method

    Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)

    Författare :William Nguyen; Sirui Li; [2022]
    Nyckelord :;

    Sammanfattning : Accuracy and efficiency have always been of great concern when solving differential equations. One approach to improve accuracy is by introducing a neural network, whose role is to learn the local truncation error (LTE) of a numerical method. LÄS MER