Essays about: "neuronnätverk"
Showing result 1 - 5 of 37 essays containing the word neuronnätverk.
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1. Decreasing Training Time of Reinforcement Learning Agents for Remote Tilt Optimization using a Surrogate Neural Network Approximator
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : One possible application of reinforcement learning in the telecommunication field is antenna tilt optimization. However, one of key challenges we face is that the use of handcrafted simulators as environments to provide information for agents is often time-consuming regarding training reinforcement learning agents. READ MORE
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2. Deep Learning-Driven EEG Classification in Human-Robot Collaboration
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Human-robot collaboration (HRC) occurs when people and robots work together in a shared environment. Current robots often use rigid programs unsuitable for HRC. Multimodal robot programming offers an easier way to control robots using inputs like voice and gestures. READ MORE
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3. A Comparison of Convolutional Neural Networks used in Melanoma Detection : With transfer learning on the PAD-UFES-20 and ISIC datasets
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Skin cancer is one of the most common forms of cancer, of which melanoma is the most lethal. Early detection is critical to long term survival rates. The use of machine learning to detect melanoma shows promising results in detecting malignant forms. READ MORE
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4. A comparison of neuron touch detection algorithms utilising voxelization and the data structures octree, k-d tree and R-tree
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Simulations of biologically detailed neuronal networks have become an essential tool in the study of the brain. An important step in the creation of these types of simulations is the detection of the connections between the nerve cells. This paper analyses the efficiency of four algorithms used for such purposes. READ MORE
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5. Hierarchical Clustering using Brain-like Recurrent Attractor Neural Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Hierarchical clustering is a family of machine learning methods that has many applications, amongst other data science and data mining. This thesis belongs to the research area of brain-like computing and introduces a novel approach to hierarchical clustering using a brain-like recurrent neural network. READ MORE
