Sökning: "stochastic spiking neural networks"

Hittade 4 uppsatser innehållade orden stochastic spiking neural networks.

1. 1. 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

3. 2. Introducing GA-SSNN: A Method for Optimizing Stochastic Spiking Neural Networks : Scaling the Edge User Allocation Constraint Satisfaction Problem with Enhanced Energy and Time Efficiency

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

   Författare :Nathan Allard; [2023]
   Nyckelord :;

   Sammanfattning : As progress within Von Neumann-based computer architecture is being limited by the physical limits of transistor size, neuromorphic comuting has emerged as a promising area of research. Neuromorphic hardware tends to be substantially more power efficient by imitating the aspects of computations in networks of neurons in the brain. LÄS MER

4. 3. Stochastic spiking neural networks based on ferroelectric memory devices

   Master-uppsats, Lunds universitet/Fasta tillståndets fysik; Lunds universitet/Fysiska institutionen

   Författare :Karolis Sulinskas; [2021]
   Nyckelord :SNN; FTJ; Stochastic SNN; Spiking neural network; Binary SNN; SNN simulation; Physics and Astronomy;

   Sammanfattning : In the last decade the world has seen a massive explosion of activity in the ma chine learning field. While the benefits of machine learning are ever growing and more impressive, the drawbacks of the technology are becoming clear and can hardly be ignored. LÄS MER

5. 4. Developing a spiking neural model of Long Short-Term Memory architectures

   Master-uppsats, Lunds universitet/Fysiska institutionen; Lunds universitet/Förbränningsfysik

   Författare :Isabella Pozzi; [2018]
   Nyckelord :Physics and Astronomy;

   Sammanfattning : Current advances in Deep Learning have shown significant improvements in common Machine Learning applications such as image, speech and text recognition. Specifically, in order to process time series, deep Neural Networks (NNs) with Long Short-Term Memory (LSTM) units are widely used in sequence recognition problems to store recent information and to use it for future predictions. LÄS MER