Essays about: "neuronnätverk"
Showing result 21 - 25 of 37 essays containing the word neuronnätverk.
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21. Exploring the LASSO as a Pruning Method
University essay from Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisationAbstract : In this study, the efficiency of various pruning algorithms were investigated, with an emphasis on regularization methods. Pruning is a method which aims to remove excess objects from a neural network. READ MORE
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22. Evaluation of Artificial Neural Networks for Predictive Maintenance
University essay from Lunds universitet/Institutionen för datavetenskapAbstract : This thesis explores Artificial Neural Networks (ANNs) for predictive time series classification for Predictive Maintenance (PdM). Time slicing and time shifting are methods used, to enable the models to find features over time, and to predict into the future, respectively. READ MORE
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23. A Study on Long Short-Term Memory Networks Applied to Local Positioning
University essay from KTH/Maskinkonstruktion (Inst.)Abstract : Numerical approaches to lateration and sensor fusion are limited by inherent measurementerrors and the positioning performance may benefit from alternative approaches.This thesis studies the applicability of deep learning to an Ultra Wide Band (UWB)based local positioning problem in a combination of readings from an Inertial MeasurementUnit (IMU). READ MORE
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24. Classification of incorrectly picked components using Convolutional Neural Networks
University essay from KTH/Robotik, perception och lärande, RPLAbstract : Printed circuit boards used in most ordinary electrical devices are usually equipped through an assembly line. Pick and place machines as part of those lines require accurate detection of incorrectly picked components, and this is commonly performed via image analysis. READ MORE
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25. Dynamic Speed Adaptation for Curves using Machine Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The vehicles of tomorrow will be more sophisticated, intelligent and safe than the vehicles of today. The future is leaning towards fully autonomous vehicles. READ MORE