Sökning: "Neuron"

Visar resultat 6 - 10 av 158 uppsatser innehållade ordet Neuron.

  1. 6. Comparison of Output Decoding Techniques for Spiking Neural Networks

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

    Författare :Hisham Ahmed; Martin Orrje; [2023]
    Nyckelord :;

    Sammanfattning : Spiking Neural Networks (SNNs) hold significant potential due to their high energy efficiency when implemented on specialized hardware. Central to SNNs is the translation of sequences of spike events to concrete outputs, like class predictions. LÄS MER

  3. 7. A Bayesian Bee Colony Algorithm for Hyperparameter Tuning of Stochastic SNNs : A design, development, and proposal of a stochastic spiking neural network and associated tuner

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Signaler och system

    Författare :Oskar Falkeström; [2023]
    Nyckelord :edge computing; edge user allocation; constraint satisfaction problem; bin packing problem; spiking neural networks; SNN; stochastic spiking neural networks; neuromorphic computing; hyperparameter tuning; swarm intellience; artificial bee colony algorithm; tree-structured Parzen estimator; stochastic optimization; Bayesian optimization.;

    Sammanfattning : With the world experiencing a rapid increase in the number of cloud devices, continuing to ensure high-quality connections requires a reimagining of cloud. One proponent, edge computing, consists of many distributed and close-to-consumer edge servers that are hired by the service providers. LÄS MER

  4. 8. A comparison of neuron touch detection algorithms utilising voxelization and the data structures octree, k-d tree and R-tree

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

    Författare :Jonathan Gustaf Cilli; Karin De Verdier; [2023]
    Nyckelord :;

    Sammanfattning : Simulations of biologically detailed neuronal networks have become an essential tool in the study of the brain. An important step in the creation of these types of simulations is the detection of the connections between the nerve cells. This paper analyses the efficiency of four algorithms used for such purposes. LÄS MER

  5. 9. Fractional proportional-integrative-derivative controller : Design, analysis and applications to DC motor and single neuron spiking

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Institutionen för elektroteknik

    Författare :Hassan Soltani; [2023]
    Nyckelord :Fractional; FPID;

    Sammanfattning : This thesis aims to explore and compare the performance of fractional proportional-integrative-derivative controllers in the DC motor system and the fractional leaky integrate and fire (FLIF) model for neuron spike signals. The objective is to determine whether FPID controllers exhibit superior performance and significant improvements in control compared to PID controllers. LÄS MER

  7. 10. Artificial Neural Networks and Inductive Biases for Multi-Instance Multi-Modal Tabular Data : A Case Study for Default Probability Estimation in Small-to-Medium Enterprise Lending

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

    Författare :Gustav Röhss; [2022]
    Nyckelord :;

    Sammanfattning : The success of artificial neural networks in homogeneous data domains such as images, textual data, and audio and other signals has had considerable impact on Machine Learning and science in general. The domain of heterogeneous tabular data, while arguably much more common, remains much less explored with regards to artificial neural networks and deep learning. LÄS MER