Sökning: "examensarbete algoritmer"

Visar resultat 1 - 5 av 107 uppsatser innehållade orden examensarbete algoritmer.

  1. 1. A comparison of training algorithms when training a Convolutional Neural Network for classifying road signs

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

    Författare :Rasmus Bergendal; Andreas Rohlén; [2019]
    Nyckelord :;

    Sammanfattning : This thesis is a comparison between three dierent training algorithms when training a Convolutional Neural Network for classifying road signs. The algorithms that were compared were Gradient Descent, Adadelta, and Adam. LÄS MER

  2. 2. Methods for optimizing large scale thermal imaging camera placement problems

    Master-uppsats, Linköpings universitet/Optimeringslära

    Författare :Hugo Lindell; [2019]
    Nyckelord :Camera planning; camera placement; large scale multi-objective optimization; large neighbourhood search; SCP heuristics; Kameraplanering; kameraplacering; storskalig flermålsoptimering; lokalsökning; övertäckningsproblemsheuristiker;

    Sammanfattning : The objective of this thesis is to model and solve the problem of placing thermal imaging camera for monitoring piles of combustible bio-fuels. The cameras, of different models, can be mounted at discrete heights on poles at fixed positions and at discrete angles, and one seeks camera model and mounting combinations that monitor as much of the piles as possible to as low cost as possible. LÄS MER

  3. 3. Particle-based Stochastic Volatility in Mean model

    Master-uppsats, KTH/Matematisk statistik

    Författare :Gustav Kövamees; [2019]
    Nyckelord :Stochastic volatility model; Volatility feedback theory; hidden Markov model; particle filter; Expectation-Maximization algorithm; PaRIS-algorithm; Stokastisk volatilitets modell; dold Markov modell; partikel-filter; Förväntan-Maximering algorithm; PaRIS-algoritm; volatilitets-återkopplings-teori;

    Sammanfattning : This thesis present a Stochastic Volatility in Mean (SVM) model which is estimated using sequential Monte Carlo methods. The SVM model was first introduced by Koopman and provides an opportunity to study the intertemporal relationship between stock returns and their volatility through inclusion of volatility itself as an explanatory variable in the mean-equation. LÄS MER

  4. 4. Cross-Layer Congestion Control with Deep Neural Network in Cellular Network

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

    Författare :Shimin Huang; [2019]
    Nyckelord :Congestion Control; Cellular Networks; Cross-Layer; Neural Networks; Trängselkontroll; Mobilnät; Tvärgående Lager; Neuronnät;

    Sammanfattning : A significant fraction of data traffic is transmitted via cellular networks. When introducing fifth-generation (5G) radio access technology, the maximum bitrate of the radio link increases significantly, and the delay is lowered. LÄS MER

  5. 5. Utilizing Privately Owned Flexibilities in the German Distribution System : Technical and Regulatory Framework

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

    Författare :Nahal Tamadon; [2019]
    Nyckelord :;

    Sammanfattning : This Master’s thesis project aims to define the technical and regulatory framework of asystem flexibility service utilizing distributed flexibilities connected to the low-voltage (LV)level. The flexibility service outlined here is local balancing, with the purpose of increasing theload-generation balance in LV networks using thermostatically controlled loads and ElectricalEnergy Storage (EES) devices. LÄS MER