Essays about: "Feed Forward Neural Networks"
Showing result 16 - 20 of 56 essays containing the words Feed Forward Neural Networks.
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16. Unsupervised learning of data representations in brain-like neural networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)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
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17. PREDICTION OF WIND TURBINE BLADE FATIGUE LOADS USING FEED-FORWARD NEURAL NETWORKS
University essay from Uppsala universitet/Institutionen för geovetenskaperAbstract : In recent years, machine learning applications have gained great attention in the wind power industry. Among these, artificial neural networks have been utilized to predict the fatigue loads of wind turbine components such as rotor blades. READ MORE
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18. Determining linguistic predictor for the classification of subjective cognitive impairment and mild cognitive impairment using machine learning
University essay from Göteborgs universitet / Institutionen för filosofi, lingvistik och vetenskapsteoriAbstract : Introduction Mild Cognitive Impairment (MCI) is a neurological condition characterized by cognitive decline greater than expected for an individual's age and education level. Subjective Cognitive Impairment (SCI) is a selfreported decline in cognitive abilities but not clinically identified as MCI. READ MORE
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19. A Study of the Loss Landscape and Metastability in Graph Convolutional Neural Networks
University essay from KTH/Matematisk statistikAbstract : Many novel graph neural network models have reported an impressive performance on benchmark dataset, but the theory behind these networks is still being developed. In this thesis, we study the trajectory of Gradient descent (GD) and Stochastic gradient descent (SGD) in the loss landscape of Graph neural networks by replicating Xing et al. READ MORE
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20. Machine Learning Uplink Power Control in Single Input Multiple Output Cell-free Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis considers the uplink of cell-free single input multiple output systems, in which the access points employ matched-filter reception. In this setting, our objectiveis to develop a scalable uplink power control scheme that relies only on large-scale channel gain estimates and is robust to changes in the environment. READ MORE