Sökning: "self-organizing maps"

Visar resultat 1 - 5 av 11 avhandlingar innehållade orden self-organizing maps.

  1. 1. Self-Organizing Body Maps in the Spinal Cord

    Författare :Marcus Granmo; Neurofysiologi; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; somatosensory; learning; development; cortex; spinal cord; activity dependent; pain; plasticity;

    Sammanfattning : During development primary afferents grow into and establish neuronal connections in the spinal cord, conveying information of the anatomical and mechanical properties of the body. This body representation forms the basis for how we perceive sensory information and control our movements. LÄS MER

  2. 2. Fluid Power Applications Using Self-Organising Maps in Condition Monitoring

    Författare :Anders Zachrison; Jan-Ove Palmberg; Magnus Sethson; Richard Burton; Linköpings universitet; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Fluid power; pneumatic; self-organizing maps; condition monitoring; Signal processing; Signalbehandling;

    Sammanfattning : Condition monitoring of systems and detection of changes in the systems are of significant importance for an automated system, whether it is for production, transport, amusement, or any other application. Although condition monitoring is already widely used in machinery, the need for it is growing, especially as systems become increasingly autonomous and self-contained. LÄS MER

  3. 3. The Dark side of Obesity: Multi-omics analysis of the dysmetabolic morbidities spectrum

    Författare :Dimitra Lappa; Chalmers University of Technology; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; gallstones; biomarkers; systems biology; multi-omics integration; GPCR receptors; Obesity; metabotyping; non-alcoholic fatty liver disease; self-organizing maps; bariatric surgery;

    Sammanfattning : Obesity is one of the most prevalent clinical conditions worldwide and is associated with a wide spectrum of dysmetabolic comorbidities. Complex cardio-metabolic disease cohorts, such as obesity cohorts are characterised by population heterogeneity, multiple underlying diseases status and different comorbidities’ treatment regiments. LÄS MER

  4. 4. Selection schemes and neural networks in adaptive real-time control : predictive simulation adaptive control

    Författare :Anders Zachrison; Linköpings universitet; []
    Nyckelord :Adaptive Control; Real-Time; Self-Organizing Feature Maps; Pneumatic; Neural Networks; Evolutionary Algorithms; TECHNOLOGY; TEKNIKVETENSKAP;

    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

  5. 5. Phenomenological modelling of sensory integration phenomena using self-organized feature maps

    Författare :Tamas Jantvik; Luleå tekniska universitet; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Industriell elektronik; Industrial Electronics;

    Sammanfattning : The main contribution of the work presented herein is a method of transferring information from one lattice of artificial neural units to another. The essence of the present method consists of four parts: (1) the wrapping of the artificial neural lattice into a module that given an input to this lattice outputs normalized coordinates for the location of peak activity and the magnitude of the activity at that location; (2) the inter-module exchange of information being carried out by using the coordinates of the neuron that respond the strongest to the input given to the artificial neural lattice; (3) the concept of the transformation map which re-maps normalized coordinates from one module's output space on another's; and (4) fusion carried out by summation of activity fields induced by artificial neural lattices. LÄS MER