Sökning: "Deep Belief Network"

Visar resultat 1 - 5 av 10 uppsatser innehållade orden Deep Belief Network.

  1. 1. Våldets djupa spår - När hans ord blir hennes sanning : En kvalitativ intervjustudie om hur våldet kan påverka våldsutsatta kvinnors självbild

    Kandidat-uppsats, Högskolan i Skövde/Institutionen för hälsovetenskaper

    Författare :Sofia Ekelöf; Sandra Shamaoon; [2022]
    Nyckelord :self-image; normalization process; identity confusion; development process; the effects of domestic violence; självbild; normaliseringsprocess; identitetsförvirring; utvecklingsprocess; våldets effekter;

    Sammanfattning : Våldsutsatta kvinnor som tagit steget att lämna en destruktiv relation befinner sig i en ständig utvecklingsprocess i relation till sin självbild. Våldets negativa effekter på en individ kan vara mångfaldiga. En våldsutsatt person bär dock ofta en stark tro på en positiv förändring. LÄS MER

  3. 2. Investigating Machine Learning for verification of AMBA APB protocol.

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Abhiram Srisai Kishore; Mohammed Wasim; [2022]
    Nyckelord :Machine learning; SOC Verification; AMBA; Neural Networks; Deep Learning; Assertions.; Technology and Engineering;

    Sammanfattning : It is a well-known fact that in any Application Specific Integrated Circuit (ASIC) design, verification consumes most time and resources. And when it comes to huge designs, finding bugs can be tedious given the area and the complexity. As per Moore’s law, the design complexity is increasing exponentially due to the growing demand for performance. LÄS MER

  4. 3. Autonomous UAV Path Planning using RSS signals in Search and Rescue Operations

    Master-uppsats, Linköpings universitet/Reglerteknik

    Författare :Axel Anhammer; Hugo Lundeberg; [2022]
    Nyckelord :UAV; DQN; Deep Q Network; particle filter; point mass filter; MDP; POMDP; Markov decision process; partially observable Markov decision process;

    Sammanfattning : Unmanned aerial vehicles (UAVs) have emerged as a promising technology in search and rescue operations (SAR). UAVs have the ability to provide more timely localization, thus decreasing the crucial duration of SAR operations. LÄS MER

  5. 4. Belief-aided Robust Control for Remote Electrical Tilt Optimization

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

    Författare :Jack Jönsson; [2021]
    Nyckelord :Mobile Network Optimization; Remote Electrical Tilt; Robust Control; Reinforcement Learning; Partially Observable Markov Decision Process; Belief State Estimation; Bayesian Neural Network; Optimering av Mobilnätverk; Fjärrstyrning av Elektrisk Lutning; Robust Reglering; Delvis Observerbar Markovprocess; Tillståndsestimering; Bayesiskt Neuralt Nätverk;

    Sammanfattning : Remote Electrical Tilt (RET) is a method for configuring antenna downtilt in base stations to optimize mobile network performance. Reinforcement Learning (RL) is an approach to automating the process by letting an agent learn an optimal control strategy and adapt to the dynamic environment. LÄS MER

  7. 5. Modeling an Embedded Climate System Using Machine Learning

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

    Författare :Alexandra Josefsson; [2021]
    Nyckelord :Machine Learning; Deep Belief Network; Control System; Climate System; PID controller; Maskininlärning; Reglersystem; Klimatsystem; PID-regulator;

    Sammanfattning : Recent advancements in processing power, storage capabilities, and availability of data, has led to improvements in many applications through the use of machine learning. Using machine learning in control systems was first suggested in the 1990s, but is more recently being implemented. LÄS MER