Sökning: "Inlärningsmodeller"

Visar resultat 11 - 15 av 18 uppsatser innehållade ordet Inlärningsmodeller.

1. 11. Pulse Repetition Interval Generation using Deep Learning

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

   Författare :Michaela Jangefalk; [2020]
   Nyckelord :;

   Sammanfattning : Radar is a central system in the field of electronic warfare used to estimate an object’s location, speed, and direction. A pulse radar emits pulses at predetermined time intervals. LÄS MER

3. 12. Point Process Based Phoneme Recognition Acceleration

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

   Författare :Hongliang Qiu; [2019]
   Nyckelord :;

   Sammanfattning : Stochastic gradient descent (SGD) is the core technology to train a deep learning model. It is well known that SGD suffers from the variance of gradients in each iteration. Deep learning has already been widely used in many applications because of its great performance in tasks such as image recognition. LÄS MER

4. 13. Side-Channel Analysis of AES Based on Deep Learning

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

   Författare :Huanyu Wang; [2019]
   Nyckelord :Side-Channel Attack; Deep Learning; Convolutional Neural Network;

   Sammanfattning : Side-channel attacks avoid complex analysis of cryptographic algorithms, instead they use side-channel signals captured from a software or a hardware implementation of the algorithm to recover its secret key. Recently, deep learning models, especially Convolutional Neural Networks (CNN), have been shown successful in assisting side-channel analysis. LÄS MER

5. 14. User Plane Selection for Core Networks using Deep Reinforcement Learning

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

   Författare :Andreas Yokobori Sävö; [2019]
   Nyckelord :;

   Sammanfattning : Allocating service functions to a core network upon users’ various demands isof importance in 5G networks. In this thesis work, we have studied reinforcementlearning models to solve this allocation problem. LÄS MER

7. 15. The Sound of Learning : Supporting the learning in games with Auditory Icons and Earcons.

   Kandidat-uppsats, Blekinge Tekniska Högskola

   Författare :Adam Daregård Thörnqvist; Oskar Aronsson; [2018]
   Nyckelord :Earcons; Auditory Icons; Inlärningsmodeller; Inlärningsärketyper; Pleasentness; Unpleasentness; Hearing och Listening.;

   Sammanfattning : The purpose of the survey is to answer the following question: How is the learning process in digital games affected by an informative sound design? The survey analyzes the adaptation of sound design in digital games for optimized learning regarding the digital environment's responses to the actor's interaction. The work investigates actors' decisions in a digital environment and the changes in decision after a change in sound design. LÄS MER