Essays about: "Artificiellt neurala nätverk"
Showing result 11 - 15 of 23 essays containing the words Artificiellt neurala nätverk.
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11. Evaluating the use of Machine Learning for Fault Detection using Log File Analysis
University essay from Mittuniversitetet/Institutionen för informationssystem och –teknologiAbstract : Under de senaste åren fick maskininlärning mer och mer popularitet i samhället. Den implementeras i stor utsträckning inom många datavetenskapliga områden, t.ex. igenkänning av tal, video, objekt, sentimentanalys osv. READ MORE
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12. Skip connection in a MLP network for Parkinson’s classification
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In this thesis, two different architecture designs of a Multi-Layer Perceptron network have been implemented. One architecture being an ordinary MLP, and in the other adding DenseNet inspired skip connections to an MLP architecture. READ MORE
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13. Deep Learning on a Microcontroller Unit in a Hand-Prosthesis Control Context
University essay from Lunds universitet/Avdelningen för Biomedicinsk teknikAbstract : This master's thesis investigates in what capacity a typical hand-prosthesis classification ANN (Artificial Neural Network) can be deployed on a microcontroller unit. A working, implemented interface is presented along with extra scripts, applications and functions for easy training and testing. READ MORE
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14. Long-term forecasting model for future electricity consumption in French non-interconnected territories
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : In the context of decarbonizing the electricity generation of French non-interconnected territories, the knowledge of future electricity demand, in particular annual and peak demand in the long-term, is crucial to design new renewable energy infrastructures. So far, these territories, mainly islands located in the Pacific and Indian ocean, relies mainly on fossil fuels powered facilities. READ MORE
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15. 3D Dose Prediction from Partial Dose Calculations using Convolutional Deep Learning models
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In this thesis, the problem of predicting the full dose distribution from a partially modeled dose calculation is addressed. Two solutions were studied: a vanilla Hierarchically Densely Connected U-net (HDUnet) and a Conditional Generative Adversarial Network (CGAN) with HDUnet as a generator. READ MORE