Essays about: "Neural networks and its application"

Showing result 1 - 5 of 61 essays containing the words Neural networks and its application.

1. 1. Decreasing Training Time of Reinforcement Learning Agents for Remote Tilt Optimization using a Surrogate Neural Network Approximator

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Jiaming Huang; [2023]
   Keywords : ;

   Abstract : One possible application of reinforcement learning in the telecommunication field is antenna tilt optimization. However, one of key challenges we face is that the use of handcrafted simulators as environments to provide information for agents is often time-consuming regarding training reinforcement learning agents. READ MORE

3. 2. Artificial Neural Networks for Financial Time Series Prediction

   University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

   Author : Dana Malas; [2023]
   Keywords : artificial neural networks; time series analysis; deep learning; finance; long short-term memory; simple moving average;

   Abstract : Financial market forecasting is a challenging and complex task due to the sensitivity of the market to various factors such as political, economic, and social factors. However, recent advances in machine learning and computation technology have led to an increased interest in using deep learning for forecasting financial data. READ MORE

4. 3. Anomaly Detection in the EtherCAT Network of a Power Station : Improving a Graph Convolutional Neural Network Framework

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Niklas Barth; [2023]
   Keywords : Unsupervised Learning; Multivariate Time Series; Graph Convolutional Neural Networks; Anomaly Detection; Industrial Control System; EtherCAT; Power Station; Electricity Grid;

   Abstract : In this thesis, an anomaly detection framework is assessed and fine-tuned to detect and explain anomalies in a power station, where EtherCAT, an Industrial Control System, is employed for monitoring. The chosen framework is based on a previously published Graph Neural Network (GNN) model, utilizing attention mechanisms to capture complex relationships between diverse measurements within the EtherCAT system. READ MORE

5. 4. Low-power Implementation of Neural Network Extension for RISC-V CPU

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Dario Lo Presti Costantino; [2023]
   Keywords : Artificial intelligence; Deep learning; Neural networks; Edge computing; Convolutional neural networks; Low-power electronics; RISC-V; AI accelerators; Parallel processing; Artificiell intelligens; Deep learning; Neurala nätverk; Edge computing; konvolutionella neurala nätverk; Lågeffektelektronik; RISC-V; AI-acceleratorer; Parallell bearbetning;

   Abstract : Deep Learning and Neural Networks have been studied and developed for many years as of today, but there is still a great need of research on this field, because the industry needs are rapidly changing. The new challenge in this field is called edge inference and it is the deployment of Deep Learning on small, simple and cheap devices, such as low-power microcontrollers. READ MORE

6. 5. Anomaly Detection inCombustion Engines withSound Recognition

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Lukas Scmid; Paula Borst; [2023]
   Keywords : ;

   Abstract : As a global manufacturer of commercial vehicles, Scania is aiming for delivering high-quality products to its customers. Therefore, testing the produced components before assembling the final product and delivering it to the customer is key. READ MORE