Sökning: "neuronnät"

Visar resultat 1 - 5 av 145 uppsatser innehållade ordet neuronnät.

  1. 1. Adversarial robustness of STDP-trained spiking neural networks

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

    Författare :Karl Lindblad; Axel Nilsson; [2023]
    Nyckelord :;

    Sammanfattning : Adversarial attacks on machine learning models are designed to elicit the wrong behavior from the model. One such attack on image classifiers are maliciously crafted inputs that, to the human eye, look untampered with but have been carefully altered to cause misclassification. LÄS MER

  3. 2. Comparing energy efficiency of Leaky integrate-and-fire and Spike response neuron models in Spiking Neural Networks

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

    Författare :Majd Dawli; Imran Bahed Diva; [2023]
    Nyckelord :;

    Sammanfattning : Spiking Neural Networks (SNNs) are a type of neural network that is designed to mimic the way neurons function in our brains. While there have been notable advancements in developing SNNs, energy consumption hasn't been studied to the same extent. This gets especially relevant with steadily increasing network sizes. LÄS MER

  4. 3. Evaluating the Effects of Neural Noise in the Multidigraph Learning Rule

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

    Författare :Gustav Bressler; Sigvard Dackevall; [2023]
    Nyckelord :;

    Sammanfattning : There exists a knowledge gap in the field of Computational Neuroscience, where many learning models for neural networks fail to take into account the influence of neural noise. The purpose of this thesis was to address this knowledge gap by investigating the robustness of the Multidigraph learning rule (MDGL) when exposed to two kinds of neural noise: external noise and internal noise. LÄS MER

  5. 4. Visual Bird's-Eye View Object Detection for Autonomous Driving

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Erik Lidman; [2023]
    Nyckelord :computer vision; machine learning; neural networks; deep learning; autonomous driving; autonomous systems; datorseende; maskininlärning; neuronnät; djupinlärning; autonom körning; autonoma system;

    Sammanfattning : In the field of autonomous driving a common scenario is to apply deep learningmodels on camera feeds to provide information about the surroundings. A recenttrend is for such vision-based methods to be centralized, in that they fuse imagesfrom all cameras in one big model for a single comprehensive output. LÄS MER

  7. 5. Machine learning-assisted image analysis and metabarcoding for monitoring of plankton in the seas surrounding Sweden

    Master-uppsats, KTH/Industriell bioteknologi

    Författare :Karin Garefelt; [2023]
    Nyckelord :Imaging FlowCytobot; imaging-in-flow cytometry; plankton imaging; convolutional neural network; metabarcoding; Imaging FlowCytobot; flödesmikroskopi; övervakning av plankton; konvolutionella neuronnät; DNA-streckkodning;

    Sammanfattning : I miljöövervakningen av haven runt Sverige har manuell mikroskopi av plankton länge varit den huvudsakliga tekniken för att övervaka växtplanktonbestånden och algblomningar. Nya tekniker utvärderas, men det är inte känt hur resultaten från de nyare teknikerna relaterar till varandra. LÄS MER