Sökning: "genetic algorithms"

Visar resultat 1 - 5 av 94 avhandlingar innehållade orden genetic algorithms.

  1. 1. Petri nets for situation recognition

    Detta är en avhandling från Örebro : Örebro university

    Författare :Anders Dahlbom; Högskolan i Skövde.; Högskolan i Skövde.; Örebro universitet.; [2011]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Teknik; Technology; Situation recognition; Petri nets; situation assessment; information fusion; rule based; Rete algorithm; genetic algorithms.; TECHNOLOGY; TEKNIKVETENSKAP; TECHNOLOGY Information technology Computer science; TEKNIKVETENSKAP Informationsteknik Datavetenskap; Computer and Systems Science; Datalogi; genetic algorithms;

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

    Detta är en avhandling från Uppsala : Acta Universitatis Upsaliensis

    Författare :Behrooz Torabi Moghadam; Uppsala universitet.; Uppsala universitet.; [2017]
    Nyckelord :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

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

    Detta är en avhandling från Stockholm : Department of Physics, Stockholm University

    Författare :Yashar Akrami; Stockholms universitet.; [2011]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; 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; NATURAL SCIENCES Physics Astronomy and astrophysics Astroparticle physics; NATURVETENSKAP Fysik Astronomi och astrofysik Astropartikelfysik; NATURAL SCIENCES Physics Astronomy and astrophysics Cosmology; NATURVETENSKAP Fysik Astronomi och astrofysik Kosmologi; NATURAL SCIENCES Physics Elementary particle physics Astroparticle physics; NATURVETENSKAP Fysik Elementarpartikelfysik Astropartikelfysik; teoretisk fysik; Theoretical Physics;

    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

  4. 4. Neural Network Approaches To Survival Analysis

    Detta är en avhandling från Department of Astronomy and Theoretical Physics, Lund University

    Författare :Jonas Kalderstam; Lunds universitet.; Lund University.; [2015]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Survival Analysis; Artificial Neural Networks; Machine Learning; Genetic Algorithms; Evolutionary Algorithms; Fysicumarkivet:2015:Kalderstam;

    Sammanfattning : Popular Abstract in Swedish Denna avhandling behandlar artificiella neuron nätverk och deras applikation inom medicin. Den utgår ifrån att det är viktigt att kunna uppskatta en patients överlevnadschanser för att kunna erbjuda rätt behandling för olika former av cancer. LÄS MER

  5. 5. Machine Learning Techniques with Specific Application to the Early Olfactory System

    Detta är en avhandling från Stockholm : KTH Royal Institute of Technology

    Författare :Benjamin Auffarth; KTH.; [2012]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; feature selection; image features; pattern classification; relevance; redundancy; distributional similarity; divergence measure; genetic algorithms; clustering algorithms; annealing; olfactory coding; olfactory bulb; odorants; glomeruli; property-activity relationship; olfaction; plasticity; axonal guidance; odor category; perception; spatial coding; population coding; memory organization; odor quality; SRA - ICT; SRA - Informations- och kommunikationsteknik;

    Sammanfattning : This thesis deals with machine learning techniques for the extraction of structure and the analysis of the vertebrate olfactory pathway based on related methods. Some of its main contributions are summarized below. LÄS MER