Essays about: "Ann Djupa"

Showing result 1 - 5 of 6 essays containing the words Ann Djupa.

  1. 1. Spent Nuclear Fuel under Repository Conditions : Update and Expansion of Database and Development of Machine Learning Models

    University essay from KTH/Kemi

    Author : Maria Abada; [2022]
    Keywords : Spent nuclear fuel; spent nuclear fuel dissolution; spent nuclear fuel corrosion; machine learning model; dissolution predictions; Utbränt kärnbränsle; upplösning av utbränt kärnbränsle; korrosion av utbränt kärnbränsle; maskininlärningsmodeller; prediktioner av upplösning;

    Abstract : Förbrukat kärnbränsle är mycket radioaktivt och behöver därför lagras i djupa geologiska förvar i tusentals år innan det säkert kan återföras till naturen. På grund av de långa lagringsperioderna görs säkerhetsanalyser av de djupa geologiska förvaren. READ MORE

  2. 2. Spiking Reinforcement Learning for Robust Robot Control Under Varying Operating Conditions

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Philipp Mondorf; [2022]
    Keywords : ;

    Abstract : Over the last few years, deep reinforcement learning (RL) has gained increasing popularity for its successful application to a variety of complex control and decision-making tasks. As the demand for deep RL algorithms deployed in challenging real-world environments grows, their robustness towards uncertainty, disturbances and perturbations of the environment becomes more and more important. READ MORE

  3. 3. Deep Bayesian Neural Networks for Prediction of Insurance Premiums

    University essay from KTH/Matematisk statistik

    Author : Nils Olsgärde; [2021]
    Keywords : Applied Mathematics; Artificial Intelligence; Artificial Neural Networks; Bayesian Neural Networks; Insurance Premiums; Vehicle Insurance; Tillämpad matematik; Artificiell intelligens; Artificiella neurala nätverk; Bayesianska neurala nätverk; försäkringspremier; fordonsförsäkringar;

    Abstract : In this project, the problem concerns predicting insurance premiums and particularly vehicle insurance premiums. These predictions were made with the help of Bayesian Neural Networks (BNNs), a type of Artificial Neural Network (ANN). The central concept of BNNs is that the parameters of the network follow distributions, which is beneficial. READ MORE

  4. 4. Deep Bayesian Neural Networks for Prediction of Insurance Premiums

    University essay from KTH/Matematisk statistik

    Author : Nils Olsgärde; [2021]
    Keywords : Applied Mathematics; Artificial Intelligence; Artificial Neural Networks; Bayesian Neural Networks; Insurance Premiums; Vehicle Insurance; Tillämpad matematik; Artificiell intelligens; Artificiella neurala nätverk; Bayesianska neurala nätverk; försäkringspremier; fordonsförsäkringar;

    Abstract : In this project, the problem concerns predicting insurance premiums and particularly vehicle insurance premiums. These predictions were made with the help of Bayesian Neural Networks (BNNs), a type of Artificial Neural Network (ANN). The central concept of BNNs is that the parameters of the network follow distributions, which is beneficial. READ MORE

  5. 5. ERA: Evolution of Residual Architectures

    University essay from Lunds universitet/Matematik LTH

    Author : Samuel Lundberg; [2020]
    Keywords : Neural Architecture Search; Automated Machine Learning; Black-box Optimization; Residual Networks; Convolutional Networks; Image Classification; Neuro-Evolutionary Computing; Technology and Engineering;

    Abstract : This thesis investigates how well a neural architecture search can find competitive image classifiers on the CIFAR-10 data set with limited computational resources. Most work done on architecture search either uses vast computational resources or narrow and strongly informed space of possible solutions. READ MORE