Essays about: "neural network matlab"
Showing result 21 - 25 of 40 essays containing the words neural network matlab.
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21. 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
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22. REAL-TIME PREDICTION OF SHIMS DIMENSIONS IN POWER TRANSFER UNITS USING MACHINE LEARNING
University essay from Mälardalens högskola/Akademin för innovation, design och teknikAbstract : .... READ MORE
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23. Channel Reconstruction for High-Rank User Equipment
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In a 5 Generation massive Multiple Input Multiple Output radio network, the Channel State Information is playing a central role in the algorithm design and system evaluation. However, Acquisition of Channel State Information consumes system resources (e.g. time, frequency) which in turn decrease the link utilization, i. READ MORE
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24. Classification of Heart Sounds with Deep Learning
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : Health care is becoming more and more digitalized and examinations of patients from a distance are closer to reality than fiction. One of these examinations would be to automatically classify a patient-recorded audiosegment of its heartbeats as healthy or pathological. READ MORE
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25. Machine Learning for Solar Energy Prediction
University essay from Högskolan i Gävle/Avdelningen för elektronik, matematik och naturvetenskapAbstract : This thesis consists of the study of different Machine Learning models used to predict solar power data in photovoltaic plants. The process of implement a model of Machine Learning will be reviewed step by step: to collect the data, to pre-process the data in order to make it able to use as input for the model, to divide the data into training data and testing data, to train the Machine Learning algorithm with the training data, to evaluate the algorithm with the testing data, and to make the necessary changes to achieve the best results. READ MORE