Sökning: "movement prediction"

Visar resultat 1 - 5 av 74 uppsatser innehållade orden movement prediction.

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

    Master-uppsats, Uppsala universitet/Matematiska institutionen

    Författare :Irina Zarankina; [2023]
    Nyckelord :ARMA; ARIMA; LSTM; time series; statistics;

    Sammanfattning : 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. LÄS MER

  2. 2. A Markovian Approach to Financial Market Forecasting

    Kandidat-uppsats, KTH/Matematisk statistik

    Författare :Kevin Sun Wang; William Borin; [2023]
    Nyckelord :Markov chain; Markov model; stock market prediction; Laplace smoothing; steady-state; forecasting; trading strategy; stochastic; trading algorithm; Markovkedjor; Markovmodell; prediktion; Laplace-jämning; stationär fördelning; tradingstrategi; stokastisk; trading algoritm;

    Sammanfattning : This thesis aims to investigate the feasibility of using a Markovian approach toforecast short-term stock market movements. To assist traders in making soundtrading decisions, this study proposes a Markovian model using a selection ofthe latest closing prices. LÄS MER

  3. 3. Electron-skyrmion systems, in and out of equilibrium, and isolated or contacted to reservoirs

    Magister-uppsats, Lunds universitet/Matematisk fysik; Lunds universitet/Fysiska institutionen

    Författare :Emil Adam Jonatan Östberg; [2023]
    Nyckelord :skyrmion; skyrmions; NEGF; freen s function; quantum transport; non-equlibrium; topology; topological charge; skyrmionics; current induced; open system; Physics and Astronomy;

    Sammanfattning : A Kondo lattice skyrmion model in contact with a macroscopic environment is simulated to explore skyrmion dynamics, which is an extension of previous work. The system is simulated using non-equilibrium Green's functions within the generalized Kadanoff-Baym ansatz and the wide band limit. LÄS MER

  4. 4. Improving Water Droplet Prediction for Vehicle Exterior Water Management: Insights from Experimental and Simulation Studies

    Master-uppsats, KTH/Väg- och spårfordon samt konceptuell fordonsdesign

    Författare :Anton Labbé; Mahim Ahsan; [2023]
    Nyckelord :Computational Fluid Dynamics; Volume of Fluid; Kistler Correlation; Water Droplet; Wind Tunnel Measurement; Exterior Water Management.; Beräkningsfluidmekanik; Volume of Fluid; Kistler-korrelation; Vattendroppar; Vind Tunnel Experiment; Exteriört Vattenhantering.;

    Sammanfattning : This thesis focuses on the study of water transportation on vehicle surfaces, which is crucial for ensuring the unobstructed operation of sensors and cameras in autonomous vehicles. The research aims to develop and validate experimental and simulation methods to enhance the understanding of water droplet behaviour and to create accurate models for computational fluid dynamics (CFD) simulations. LÄS MER

  5. 5. Temporal Localization of Representations in Recurrent Neural Networks

    Master-uppsats, Högskolan Dalarna/Institutionen för information och teknik

    Författare :Asadullah Najam; [2023]
    Nyckelord :Recurrent Neural Networks RNNs ; Deep Learning; Time Series Prediction; Exploding Values; Gradient Decay; Long Short-Term Memory LSTMs ; Gated Recurrent Units GRUs ; Attention Mechanism; Moving Representations; Localizing Representations;

    Sammanfattning : Recurrent Neural Networks (RNNs) are pivotal in deep learning for time series prediction, but they suffer from 'exploding values' and 'gradient decay,' particularly when learning temporally distant interactions. Long Short-Term Memory (LSTM) and Gated Recurrent Units (GRU) have addressed these issues to an extent, but the precise mitigating mechanisms remain unclear. LÄS MER