Essays about: "neural network market"

Showing result 1 - 5 of 108 essays containing the words neural network market.

1. 1. On modelling OMXS30 stocks - comparison between ARMA models and neural networks

   University essay from Uppsala universitet/Matematiska institutionen

   Author : Irina Zarankina; [2023]
   Keywords : ARMA; ARIMA; LSTM; time series; statistics;

   Abstract : This thesis compares the results of the performance of the statistical Autoregressive integrated moving average (ARIMA) model and the neural network Long short-term model (LSTM) on a data set, which represents a market index. Both models are used to predict monthly, daily, and minute close prices of the OMX Stockholm 30 Index. 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. Assessing Electricity Prices and Their Driving Mechanisms in Brazil with Neural Networks

   University essay from KTH/Skolan för industriell teknik och management (ITM)

   Author : Henrique Costabile; [2023]
   Keywords : ;

   Abstract : In general, electricity prices are very volatile and derive from many external variables. In Brazil, this price is determined by computer models developed and operated by government organizations. The supply and demand relationships are not enough to determine prices in Brazilian submarkets. READ MORE

5. 4. Predicting Cross-Platform Performance : A Case Study on Evaluating Predictive Models and Exploring the Economic Consequences in Software Testing

   University essay from Blekinge Tekniska Högskola/Institutionen för industriell ekonomi

   Author : Adam Bredfell; Gustav Roll; [2023]
   Keywords : cross-platform performance; process innovation; creative destruction; predictive models;

   Abstract : Background: In today's digital world, there is increasing importance on cross-platform performance testing and the challenges faced by businesses in achieving efficient performance for applications across multiple platforms. Predictive models, such as machine learning and regression, have emerged as potential solutions to predict performance to be quickly analyzed, thus eliminating the need to execute an entire environment. READ MORE

6. 5. 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