Sökning: "genetic algorithms"

Visar resultat 1 - 5 av 127 avhandlingar innehållade orden genetic algorithms.

  1. 1. Petri nets for situation recognition

    Författare :Anders Dahlbom; Lars Niklasson; Göran Falkman; Amy Loutfi; Kathryn Blackmond Laskey; Örebro universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; Situation recognition; Petri nets; situation assessment; information fusion; rule based; Rete algorithm; genetic algorithms; TECHNOLOGY; TEKNIKVETENSKAP; Computer science; Datavetenskap; Computer and Systems Science; Datalogi; genetic algorithms.; Teknik; Technology;

    Sammanfattning : Situation recognition is a process with the goal of identifying a priori defined situations in a flow of data and information. The purpose is to aid decision makers with focusing on relevant information by filtering out situations of interest. LÄS MER

  2. 2. Optimal Reduction of Structural Vibrations Using Genetic Algorithms

    Författare :Hamid Movaffaghi; Chalmers University of Technology; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Earthquake excitation; Viscoelastic dampers; 3-D structures; Finite; Optimisation; Vibration reduction; Genetic Algorithm; element;

    Sammanfattning : .... LÄS MER

  3. 3. Computational discovery of DNA methylation patterns as biomarkers of ageing, cancer, and mental disorders : Algorithms and Tools

    Författare :Behrooz Torabi Moghadam; Jan Komorowski; Manfred Grabherr; Jaak Vilo; Uppsala universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; DNA methylation; machine learning; biomarker; cancer; ageing; classification;

    Sammanfattning : Epigenetics refers to the mitotically heritable modifications in gene expression without a change in the genetic code. A combination of molecular, chemical and environmental factors constituting the epigenome is involved, together with the genome, in setting up the unique functionality of each cell type. LÄS MER

  4. 4. Supersymmetry vis-à-vis Observation : Dark Matter Constraints, Global Fits and Statistical Issues

    Författare :Yashar Akrami; Joakim Edsjö; Lars Bergström; Roberto Trotta; Stockholms universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; supersymmetry; cosmology of theories beyond the Standard Model; dark matter; gamma rays; dwarf galaxies; direct detection; statistical techniques; scanning algorithms; genetic algorithms; statistical coverage; Astroparticle physics; Astropartikelfysik; Cosmology; Kosmologi; Astroparticle physics; Astropartikelfysik; Theoretical Physics; teoretisk fysik;

    Sammanfattning : Weak-scale supersymmetry is one of the most favoured theories beyond the Standard Model of particle physics that elegantly solves various theoretical and observational problems in both particle physics and cosmology. In this thesis, I describe the theoretical foundations of supersymmetry, issues that it can address and concrete supersymmetric models that are widely used in phenomenological studies. LÄS MER

  5. 5. Neural Network Approaches To Survival Analysis

    Författare :Jonas Kalderstam; Beräkningsbiologi och biologisk fysik; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Survival Analysis; Artificial Neural Networks; Machine Learning; Genetic Algorithms; Evolutionary Algorithms; Fysicumarkivet:2015:Kalderstam;

    Sammanfattning : Predicting the probable survival for a patient can be very challenging for many diseases. In many forms of cancer, the choice of treatment can be directly impacted by the estimated risk for the patient. This thesis explores different methods to predict the patient's survival chances using artificial neural networks (ANN). LÄS MER