Essays about: "Feed Forward Neural Networks"
Showing result 6 - 10 of 56 essays containing the words Feed Forward Neural Networks.
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6. Fault Isolation and Identification in Autonomous Hauler Steering System
University essay from Linköpings universitet/Fluida och mekatroniska systemAbstract : During the past years an increased focus on the development of autonomous solutions has resulted in driverless vehicles being used in numerous industries. Volvo Construction Equipment is currently developing the TA15, an autonomous hauler part of a larger transport solution. READ MORE
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7. A comparison between Feed-forward and Convolutional Neural Networks for classification of invoice documents
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)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
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8. Artificial Neural Network in Exhaust Temperature Modelling : Viability of ANN Usage in Gasoline Engine Modelling
University essay from Linköpings universitet/Fordonssystem; Linköpings universitet/Tekniska fakultetenAbstract : Developing and improving upon a good empirical model for an engine can be time-consuming and costly. The goal of this thesis has been to evaluate data-driven modelling, specifically neural networks, to see how well it can handle training for some static models like the mass flow of air into the cylinder, mean effective pressure and pump mean effective pressure but also for transient modelling, specifically the exhaust gas temperature. READ MORE
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9. Physics-informed Neural Networks for Biopharma Applications
University essay from Umeå universitet/Institutionen för fysikAbstract : Physics-Informed Neural Networks (PINNs) are hybrid models that incorporate differential equations into the training of neural networks, with the aim of bringing the best of both worlds. This project used a mathematical model describing a Continuous Stirred-Tank Reactor (CSTR), to test two possible applications of PINNs. READ MORE
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10. Predicting Road Rut with a Multi-time-series LSTM Model
University essay from Högskolan Dalarna/Institutionen för information och teknikAbstract : Road ruts are depressions or grooves worn into a road. Increases in rut depth are highly undesirable due to the heightened risk of hydroplaning. Accurately predicting increases in road rut depth is important for maintenance planning within the Swedish Transport Administration. READ MORE