Essays about: "Feed-Forward Artificial Neural Network"

Showing result 6 - 10 of 24 essays containing the words Feed-Forward Artificial Neural Network.

1. 6. A comparison between Feed-forward and Convolutional Neural Networks for classification of invoice documents

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Erik Svensson; [2022]
   Keywords : ;

   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

3. 7. Artificial Neural Network in Exhaust Temperature Modelling : Viability of ANN Usage in Gasoline Engine Modelling

   University essay from Linköpings universitet/Fordonssystem; Linköpings universitet/Tekniska fakulteten

   Author : Musa Nibras; Roos Linus; [2022]
   Keywords : Artificial Neural Network; Data-driven Modelling; Engine Modelling; Transient behaviour; Static behaviour; Feed Forward Network; Layer Recurrent Network; NARX; Long Short Term Memory; Gated Recurrent Network; Data processing;

   Abstract : 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

4. 8. Application of Deep Q-learning for Vision Control on Atari Environments

   University essay from Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

   Author : Jim Öhman; [2021]
   Keywords : Reinforcement learning; Atari 2600; Deep Q-learning; Myopic Agents; Vision Control; Physics and Astronomy;

   Abstract : The success of Reinforcement Learning (RL) has mostly been in artificial domains, with only some successful real-world applications. One of the reasons being that most real-world domains fail to satisfy a set of assumptions of RL theory. READ MORE

5. 9. Comparison of linear regression and neural networks for stock price prediction

   University essay from Uppsala universitet/Signaler och system

   Author : Nils Karlsson; [2021]
   Keywords : Stock market; Stock market prediction; prediction; neural network; feed forward neural network; artificial neural network; linear regression; finance; efficient market hypothesis; EMH;

   Abstract : Stock market prediction has been a hot topic lately due to advances in computer technology and economics. One economic theory, called Efficient Market Hypothesis (EMH), states that all known information is already factored into the prices which makes it impossible to predict the stock market. READ MORE

6. 10. Unsupervised learning of data representations in brain-like neural networks

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Arian Javdan; [2021]
   Keywords : ;

   Abstract : Recently, there has been a growing interest in brain-plausible neural networks that closely resemble the brain’s structure. However, conventional networks do not make good models for the brain since these connections are modelled differently, hence the interest in brain-plausible networks. READ MORE