Sökning: "perceptron"

Visar resultat 21 - 25 av 171 uppsatser innehållade ordet perceptron.

  1. 21. 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

  3. 22. Deep Learning for Predicting Electrical Power in 5G

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

    Författare :Robert Mellberg; [2022]
    Nyckelord :5G; Deep learning; Machine learning; Predictions; Electrical power; 5G; Djupinlärning; Maskininlärning; Förutsägelser; Elektrisk effekt;

    Sammanfattning : 5G is currently being implemented around the world. A way to save resources in 5G could be to have several sector carriers sharing one power source. This requires being able to predict the electrical power of the sector carriers to make sure they do not exceed the capability of the power source. LÄS MER

  4. 23. 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

  5. 24. Predicting company bankruptcy using artificial neural networks. : Visualization and ranking of key features

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

    Författare :Jacob Wirgård WIklund; [2022]
    Nyckelord :;

    Sammanfattning : This paper presents a deep learning model that challenges what is known in the financial field of company bankruptcy. Specifically, a Multilayer Perceptron (MLP) model for predicting corporate bankruptcies is constructed and analyzed to visualize which input parameters that are most important for the accuracy of the model. LÄS MER

  7. 25. Fast Classification of Obfuscated Malware with an Artificial Neural Network

    Kandidat-uppsats, KTH/Datavetenskap

    Författare :Johan Luhr; Hannes Hallqvist; [2022]
    Nyckelord :;

    Sammanfattning : Malware has posed a problem ever since the first variant was created in the 1980s. As malware detection techniques have advanced, malware developers have in turn found better ways to hide and obfuscate malware. Machine learning (ML) has seen great expansion into many fields over the last years, this includes the field of cybersecurity. LÄS MER