Sökning: "neuromorfiska pulserande neuronnät"

Hittade 2 uppsatser innehållade orden neuromorfiska pulserande neuronnät.

  1. 1. Development and Evaluation of a Road Marking Recognition Algorithm implemented on Neuromorphic Hardware

    Kandidat-uppsats, KTH/Datavetenskap

    Författare :Santiago Bou Betran; [2022]
    Nyckelord :SpiNNaker; Neuromorphic Hardware; Spiking Neural Network; Computer vision system; Lane recognition; Autonomous driving; Line Recognition; Neuromorphic Vision Sensors; Third Generation Neural Networks; Algorithm Evaluation.; SpiNNaker; Neuromorfiska hårdvara; neuromorfiska pulserande neuronnät; Datorseende system; läser av körbanans; självkörande bilar; läser av linjer; dynamiska synsensorer; Tredje generation neuronnät; utvärdering av algoritmen.; Hardware Neuromórfico; Sistemas de visión por computador; Reconocimiento de Carril; Conducción autónoma; Sensores de visión neuromórfica; Redes neuronales de Impulsos; Redes Neuronales de Tercera Generación; Evaluación de Algoritmos.;

    Sammanfattning : Driving is one of the most common and preferred forms of transport used in our actual society. However, according to studies, it is also one of the most dangerous. One solution to increase safety on the road is applying technology to automate and prevent avoidable human errors. LÄS MER

  3. 2. Scaling Properties of Spiking Neural Networks on the Digital Neuromorphic Hardware SpiNNaker : An analysis of how increasing the number of neurons and the number of connections between them affects the performance of spiking neural networks on the SpiNNaker architecture

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

    Författare :Lukas Widén; Gustaf Blomqvist; [2020]
    Nyckelord :;

    Sammanfattning : SpiNNaker is a neuromorphic hardware devised to simulate SNNs effectively.This paper examines how the performance of an SNN simulated on SpiNNaker is affected by its ratio of number of neurons to number of connections between neurons, as the SNN grows in size. The scope of this paper is limited to the SpiNNaker system SpiNN-3. LÄS MER