Essays about: "neuronnätverk"
Showing result 16 - 20 of 37 essays containing the word neuronnätverk.
-
16. Training Neural Networks with Evolutionary Algorithms for Flash Call Verification
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Evolutionary algorithms have achieved great performance among a wide range of optimization problems. In this degree project, the network optimization problem has been reformulated and solved in an evolved way. A feasible evolutionary framework has been designed and implemented to train neural networks in supervised learning scenarios. READ MORE
-
17. Microarray Quality Control using Artificial Neural Networks
University essay from Lunds universitet/Institutionen för astronomi och teoretisk fysik - Genomgår omorganisation; Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisationAbstract : When using antibody microarrays to diagnose diseases, the process of quality control of the microarray data is an important step. Currently, a part of this process is performed manually by visual inspection. READ MORE
-
18. A comparative study between MLP and CNN for noise reduction on images : The impact of different input dataset sizes and the impact of different types of noise on performance
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Images damaged by noise present a problem that can be addressed by performing noise-reduction using neural networks. This thesis analyses the performance of two different neural networks, a Mulilayer Perceptron (MLP) and a Convolutional Neural Network (CNN), when performing noise reduction on images. READ MORE
-
19. Attempts at using Bayesian neural networksfor uncertainty assessments of temperature forecasts
University essay from Lunds universitet/Förbränningsfysik; Lunds universitet/Fysiska institutionenAbstract : This thesis describes attempts at estimating the uncertainty of the 2-metre temperature forecast error from a probabilistic point of view, utilizing Bayesian neural networks. Bayesian neural networks are a type of machine-learning algorithms used to find patterns in data and make probabilistic predictions. READ MORE
-
20. Data augmentation using military simulators in deep learning object detection applications
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : While deep learning solutions have made great progress in recent years, the requirement of large labeled datasets still limit their practical use in certain areas. This problem is especially acute for solutions in domains where even unlabeled data is a limited resource, such as the military domain. READ MORE
