Sökning: "Multi-layer Perceptron MLP"

Visar resultat 1 - 5 av 25 uppsatser innehållade orden Multi-layer Perceptron MLP.

  1. 1. Automatic Analysis of Peer Feedback using Machine Learning and Explainable Artificial Intelligence

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

    Författare :Kevin Huang; [2023]
    Nyckelord :Text classification; Peer feedback; Explainable Artificial Intelligence; BERT; RoBERTa; DistilBERT; Decision Tree; MLP; CSCL; STEM education; Textklassificering; Feedback till kamrater; Förklarig Artificiell Intelligens; BERT; RoBERTa; DistilBERT; Decision Tree; MLP; CSCL; STEM-utbildning;

    Sammanfattning : Peer assessment is a process where learners evaluate and provide feedback on one another’s performance, which is critical to the student learning process. Earlier research has shown that it can improve student learning outcomes in various settings, including the setting of engineering education, in which collaborative teaching and learning activities are common. LÄS MER

  3. 2. Cell Tower Localization using crowdsourced measurments

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

    Författare :Carlos Escandón Álvarez; [2023]
    Nyckelord :Cell Tower Geolocation; Crowdsourced Measurements; Positioning; Machine Learning; Neural Networks;

    Sammanfattning : This thesis explores the application of a neural network approach to cell tower localization using crowdsourced measurements. The deployment of cell tower infrastructure has been increasing exponentially in recent times as it is a crucial element of mobile communications. LÄS MER

  4. 3. Remembering how to walk - Using Active Dendrite Networks to Drive Physical Animations

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysik

    Författare :Klas Henriksson; [2023]
    Nyckelord :reinforcement learning; deep learning; physical animation; deep reinforcement learning; multi-task learning; multi-task reinforcement learning; machine learning; neural networks;

    Sammanfattning : Creating embodied agents capable of performing a wide range of tasks in different types of environments has been a longstanding challenge in deep reinforcement learning. A novel network architecture introduced in 2021 called the Active Dendrite Network [A. Iyer et al. LÄS MER

  5. 4. Predicting Reactor Instability Using Neural Networks

    Kandidat-uppsats, KTH/Fysik

    Författare :Hilborn Hubert; [2022]
    Nyckelord :Boiling Water Reactors; Density Wave Instability; Multi-Layer Perceptron; Support Vector Regression; Kernel-Ridge Regression;

    Sammanfattning : The study of the instabilities in boiling water reactors is of significant importance to the safety withwhich they can be operated, as they can cause damage to the reactor posing risks to both equipmentand personnel. The instabilities that concern this paper are progressive growths in the oscillatingpower of boiling-water reactors. LÄS MER

  7. 5. PV self-consumption: Regression models and data visualization

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

    Författare :Martos Tóth; [2022]
    Nyckelord :Self-Consumption; photovoltaics; battery; machine learning; solar energy; random forest; k-nearest neighbor; multi-layer perceptron; lasso regression; ridge regression; linear regression; Egenanvändning; photovoltaics; batteri; maskininlärning; solenergi; random forest; k-nearest neighbors; multi-layer perceptron; lasso regression; ridge regression; linjär regression;

    Sammanfattning : In Sweden the installed capacity of the residential PV systems is increasing every year. The lack of feed-in-tariff-scheme makes the techno-economic optimization of the PV systems mainly based on the self-consumption. The calculation of this parameter involves hourly building loads and hourly PV generation. LÄS MER