Essays about: "Artificial Neural Network ANN"
Showing result 11 - 15 of 157 essays containing the words Artificial Neural Network ANN.
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11. Fog detection using an artificial neural network
University essay from Lunds universitet/Matematisk statistikAbstract : This project studies a method of image-based fog detection directly from a camera without using the transmissometer. Fog can be detected using transmissometers which could be a very costly approach. This thesis presents an image-based approach for fog detection using Artificial Neural networks. READ MORE
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12. Trigger-Level Multiple Electron Event Classification with LDMX using Artificial Neural Networks
University essay from Lunds universitet/Partikel- och kärnfysik; Lunds universitet/Fysiska institutionenAbstract : Artificial neural networks is a powerful tool for classifying and identifying patterns in large amounts of data. One of the possible tasks of these networks is classification of data into categories. READ MORE
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13. Synthesis of Neural Networks using SAT Solvers
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Artificial neural networks (ANN) have found extensive use in solving real-world problems in recent years, where their exceptional information processing is the main advantage. Facing increasingly complex problems, there is a need to improve their information processing. READ MORE
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14. Empirical investigation on the performance of a feed-forward artificial neural network on the Nordic stock markets
University essay from Göteborgs universitet/Graduate SchoolAbstract : In this paper, the authors have made an empirical investigation on the performance of a feed-forward artificial neural network (ANN) on the four main Nordic stock markets, Sweden, Norway, Denmark, and Finland. First, a benchmark OLS regression model is compared against an ANN model to see which model performs best in terms of predictive accuracy and has the least amount of error. READ MORE
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15. Volatility Forecasting with Artificial Neural Networks: Can we trust them?
University essay from Stockholms universitet/FinansieringAbstract : 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