Sökning: "modular neural network"

Visar resultat 1 - 5 av 14 uppsatser innehållade orden modular neural network.

1. 1. Quantifying the Impact of Synaptic Delay and Neuronal Refractory Period on Criticality in Hierarchical Modular Neural Networks

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

   Författare :Hannes Gustafsson; [2023]
   Nyckelord :;

   Sammanfattning : Self-organized brain criticality suggests that the brain is able to operate near a critical point.With compelling evidence supporting the theory, it is important to understand whichbiological mechanisms are required for critical dynamics to occur. LÄS MER

3. 2. Cooperative Modular Neural Networks for Artificial Intelligence in Games : A Comparison with A Monolithic Neural Network Regarding Technical Aspects and The Player Experience

   Uppsats för yrkesexamina på avancerad nivå, Blekinge Tekniska Högskola/Fakulteten för datavetenskaper

   Författare :Emil Högstedt; Ove Ødegård; [2023]
   Nyckelord :Neural Network; Modularization; Sensor; Reinforcement Learning; Supervised Learning; Neuralt Nätverk; Modulärisering; Sensor; Förstärkningsinlärning; Väglett Lärande;

   Sammanfattning : Recent years have seen multiple machine-learning research projects concerning agents in video games. Yet, there is a disjoint between this academic research and the video game industry, evidenced by the fact that game developers still hesitate to use neural networks (NN) due to lack of clarity and control. LÄS MER

4. 3. Inverse Uncertainty Quantification for Sounding Rocket Dispersion

   Master-uppsats, KTH/Matematik (Avd.)

   Författare :Tove Ågren; [2022]
   Nyckelord :Uncertainty quantification; Bayesian inference; Rocket dispersion; Neural networks; Markov Chain Monte Carlo.; Osäkerhetskvantifiering; Bayesiansk inferens; Raketspridning; Neurala nätverk; Markovkedje-Monte Carlo;

   Sammanfattning : Sounding rocket impact points are subject to dispersion due to uncertainties in simulation model parameters and perturbations of the rocket trajectory during flight. Estimating the area of dispersion assumes that associated model uncertainties and magnitude of perturbations have already been inferred. LÄS MER

5. 4. Quality inspection of multiple product variants using neural network modules

   Master-uppsats, Högskolan i Skövde/Institutionen för ingenjörsvetenskap

   Författare :Fredrik Vuoluterä; [2022]
   Nyckelord :quality inspection; defect detection; variants; modular neural network; convolutional neural network; case study;

   Sammanfattning : Maintaining quality outcomes is an essential task for any manufacturing organization. Visual inspections have long been an avenue to detect defects in manufactured products, and recent advances within the field of deep learning has led to a surge of research in how technologies like convolutional neural networks can be used to perform these quality inspections automatically. LÄS MER

7. 5. Deep Reinforcement LearningA case study of AlphaZero

   Kandidat-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Fredrik Mattisson; [2021]
   Nyckelord :;

   Sammanfattning : Using deep neural networks for reinforcement learning has proven very successful, as demonstrated by the AlphaZero algorithm developed by DeepMind in 2018. This algorithm is capable of mastering two-player zero-sum board games entirely by playing against itself. LÄS MER