Essays about: "FeedForward Network"
Showing result 21 - 25 of 42 essays containing the words FeedForward Network.
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21. A Deep Learning Approach to Downlink User Throughput Prediction in Cellular Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : A majority of the global population subscribe to mobile networks, also knownas cellular networks. Thus, optimizing mobile traffic would bring benefits tomany people. The available downlink user throughput in cellular networks issubject to heavy fluctuations, which leads to inefficient use of network capacity. READ MORE
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22. Predicting Exchange Rate Value-at-Risk and Expected Shortfall: A Neural Network Approach
University essay from Lunds universitet/Nationalekonomiska institutionenAbstract : On the basis of the recommendation of the Basel Committee on Banking Supervision to transition from Value-at-Risk (VaR) to Expected Shortfall (ES) in determining market risk capital, this paper attempts to investigate whether a Recurrent Neural Network provides more accurate VaR and ES predictions of the EUR/USD exchange rate compared to the conventional GARCH(1,1) model. A number of previous studies has confirmed the forecasting ability of a plain vanilla Feedforward Neural Network over traditional statistical models. READ MORE
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23. Application of machine learning in 5G to extract prior knowledge of the underlying structure in the interference channel matrices
University essay from KTH/Matematisk statistikAbstract : The data traffic has been growing drastic over the past few years due to digitization and new technologies that are introduced to the market, such as autonomous cars. In order to meet this demand, the MIMO-OFDM system is used in the fifth generation wireless network, 5G. READ MORE
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24. Anomaly detection in electricity demand time series data
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The digitalization of the energy industry has made tremendous energy data available. This data is utilized across the entire energy value chain to provide value for customers and energy providers. READ MORE
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25. Machine learning for condition monitoring in hydropower plants using a neural network
University essay from Luleå tekniska universitet/Institutionen för teknikvetenskap och matematikAbstract : The hydro power industry stands for new challenges due to a more fluctuating production fromwind and solar power. This requires more regulation of the production in the hydro powerstations, which increases maintenance demands. An oil leakage has not only consequencessuch as downtimes and maintenance costs, but also an environmental impact. READ MORE