Sökning: "Neural Fields"
Visar resultat 1 - 5 av 69 avhandlingar innehållade orden Neural Fields.
1. On Hardware Implementation of Discrete-Time Cellular Neural Networks
Sammanfattning : Cellular Neural Networks are characterized by simplicity of operation. The network consists of a large number of nonlinear processing units; called cells; that are equally spread in the space. LÄS MER
2. Data-Efficient Representation Learning for Grasping and Manipulation
Sammanfattning : General-purpose robotics require adaptability to environmental variations and, therefore, need effective representations for programming them. A common way to acquire such representations is through machine learning. Machine learning has shown great potential in computer vision, natural language processing, reinforcement learning, and robotics. LÄS MER
3. Selection schemes and neural networks in adaptive real-time control : predictive simulation adaptive control
Sammanfattning : The vision of self-aware machines was the starting point of this work. The idea is a machine having knowledge about itself and its surrounding environment, being able to react to changes in the environment. LÄS MER
4. Neural limits of visual resolution
Sammanfattning : Aims: The aim of this thesis was to formulate a model of retinal neural circuitry in humans based on morphological estimates of retinal cone and ganglion cell populations, to compare results based on this model to psychophysical measurements of visual resolution and identify the retinal neural factors that limit visual resolution.Materials & Methods: Total displacement of central ganglion cells from foveal cones was obtained by estimating the length of fibers of Henle in four human retinas along the nasal or vertical hemi-meridians. LÄS MER
5. Space Weather Physics, Prediction and classification of solar wind structures and geomagnetic activity using artificial neural networks
Sammanfattning : This thesis concerns the application of artificial neural network techniques to space weather physics. The networks applied include multi-layer error-backpropagation, radial basis function, and self-organized maps. LÄS MER