Essays about: "ann network"

Showing result 16 - 20 of 181 essays containing the words ann network.

  1. 16. Volatility Forecasting with Artificial Neural Networks: Can we trust them?

    University essay from Stockholms universitet/Finansiering

    Author : Carl Oscar Dannström; Axel Broang; [2022]
    Keywords : ;

    Abstract : This thesis investigates how two types of artificial neural network models (ANN), feedforwardneural networks (FNN) and long short-term memory (LSTM), used for realized volatility (RV) forecasting, perform during high and low volatility regimes in comparison to the heterogeneousautoregressive (HAR) model. This is done for 23 stocks, constituents of the Swedish index OMXS30, between the 8th of February 2010 and the 31st of January 2022 using ten exogenous and three endogenous input variables. READ MORE

  3. 17. Investigating Relations between Regularization and Weight Initialization in Artificial Neural Networks

    University essay from Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

    Author : Rasmus Sjöö; [2022]
    Keywords : Artificial Neural Networks; L1 Regularization; L2 Regularization; Loss Function; Maximum Likelihood; Regularization Strength Synthetic Data Generation; Weight Initialization; Physics and Astronomy;

    Abstract : L2 regularization is a common method used to prevent overtraining in artificial neural networks. However, an issue with this method is that the regularization strength has to be properly adjusted for it to work as intended. This value is usually found by trial and error which can take some time, especially for larger networks. READ MORE

  4. 18. Spent Nuclear Fuel under Repository Conditions : Update and Expansion of Database and Development of Machine Learning Models

    University essay from KTH/Kemi

    Author : Maria Abada; [2022]
    Keywords : Spent nuclear fuel; spent nuclear fuel dissolution; spent nuclear fuel corrosion; machine learning model; dissolution predictions; Utbränt kärnbränsle; upplösning av utbränt kärnbränsle; korrosion av utbränt kärnbränsle; maskininlärningsmodeller; prediktioner av upplösning;

    Abstract : Förbrukat kärnbränsle är mycket radioaktivt och behöver därför lagras i djupa geologiska förvar i tusentals år innan det säkert kan återföras till naturen. På grund av de långa lagringsperioderna görs säkerhetsanalyser av de djupa geologiska förvaren. READ MORE

  5. 19. Reducing the computational complexity of a CNN-based neural network used for partitioning in VVC compliant encoders

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

    Author : Saman Rassam; [2022]
    Keywords : Video Coding; VVC; Block Partitioning; VTM; ANN; CNN; Videkodning; VVC; Blockpartitionering; VTM; ANN; CNN;

    Abstract : Block partitioning is a computationally heavy step in the video coding process. Previously, this stage has been done using a full-search-esque algorithm. READ MORE

  6. 20. A comparison between Feed-forward and Convolutional Neural Networks for classification of invoice documents

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

    Author : Erik Svensson; [2022]
    Keywords : ;

    Abstract : Filing invoices under booking accounts can be a time-consuming task that could be alleviated by machine learning algorithms. There are two possible main methods for an algorithm to learn to classify such data: use a machine learning algorithm directly on the images, or extract words as tokens and use a machine learning algorithm on the set of words generated. READ MORE