Essays about: "Neurala koder"

Found 5 essays containing the words Neurala koder.

1. 1. Regression with Bayesian Confidence Propagating Neural Networks

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

   Author : Raghav Rajendran Bongole; [2023]
   Keywords : Machine Learning; Neural Networks; Brain-like computing; Bayesian Confidence Propagating Neural Networks; Maskininlärning; neurala nätverk; hjärnliknande datorer; Bayesian Förtroendespridande neurala nätverk;

   Abstract : Bayesian Confidence Propagating Neural Networks (BCPNNs) are biologically inspired artificial neural networks. These networks have been modeled to account for brain-like aspects such as modular architecture, divisive normalization, sparse connectivity, and Hebbian learning. READ MORE

3. 2. Deep Neural Networks as SurrogateModels for Fuel Performance Codes

   University essay from Uppsala universitet/Tillämpad kärnfysik

   Author : Wenhan Zhou; [2023]
   Keywords : Transuranus; AI; Nuclear Fuel Rods;

   Abstract : The core component of a nuclear power plant is the reactor and the fuel rods that supply it with fission fuel. Efficient and safe energy extraction is thus highly dependent on the reactor design and the conditions of the fuel rods. To anticipate high-quality operation and potential risks in advance, one must perform simulations on the fuel rods. READ MORE

4. 3. Using a Deep Generative Model to Generate and Manipulate 3D Object Representation

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

   Author : Yu Hu; [2023]
   Keywords : Neural networks; point cloud; 3D shape generation; 3D shape manipulation; classification; Neurala nätverk; punktmoln; generering av 3D-former; manipulation av 3Dformer; klassificering;

   Abstract : The increasing importance of 3D data in various domains, such as computer vision, robotics, medical analysis, augmented reality, and virtual reality, has gained giant research interest in generating 3D data using deep generative models. The challenging problem is how to build generative models to synthesize diverse and realistic 3D objects representations, while having controllability for manipulating the shape attributes of 3D objects. READ MORE

5. 4. Polar Codes for Biometric Identification Systems

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

   Author : Yicheng Bao; [2022]
   Keywords : Biometrics; Polar codes; Identification systems; Convolutional neural networks; Autoencoder; Privacy preservation; Biometri; Polära koder; Identifieringssystem; Konvolutionella neurala nätverk; Autoencoder; Sekretessskydd;

   Abstract : Biometrics are widely used in identification systems, such as face, fingerprint, iris, etc. Polar code is the only code that can be strictly proved to achieve channel capacity, and it has been proved to be optimal for channel and source coding. READ MORE

6. 5. Dynamic synapses in neural information processing : Examining the influence of short-term synaptic plasticity on neural coding

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

   Author : Oscar Spolander; [2022]
   Keywords : Short-term synaptic plasticity; Neural codes; Action Potential; Neuron firing rate; Rate code; Kort synaptiskt plasticitet; Neurala koder; Nervimpuls; Impulsfrekvens för nervcell; Frekvenskod;

   Abstract : Short-term synaptic plasticity (STP) is a phenomenon that has been closely associated with how neurons communicate with each other. I study communication between neurons tied to synapses endowed with short-term plasticity (dynamic synapses). READ MORE