Sökning: "Evolutionary Algorithm"

Visar resultat 1 - 5 av 60 avhandlingar innehållade orden Evolutionary Algorithm.

1. 1. Evolving intelligence : Overcoming challenges for Evolutionary Deep Learning

   Författare :Mohammed Ghaith Altarabichi; Sławomir Nowaczyk; Sepideh Pashami; Peyman Sheikholharam Mashhadi; Niklas Lavesson; Högskolan i Halmstad; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; neural networks; evolutionary deep learning; evolutionary machine learning; feature selection; hyperparameter optimization; evolutionary computation; particle swarm optimization; genetic algorithm;

   Sammanfattning : Deep Learning (DL) has achieved remarkable results in both academic and industrial fields over the last few years. However, DL models are often hard to design and require proper selection of features and tuning of hyper-parameters to achieve high performance. These selections are tedious for human experts and require substantial time and resources. LÄS MER

3. 2. Obtaining Accurate and Comprehensible Data Mining Models : An Evolutionary Approach

   Författare :Ulf Johansson; Lars Niklasson; Tom Ziemke; Thorsteinn Rögnvaldsson; Linköpings universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Rule extraction; Ensembles; Data mining; Genetic programming; Artificial neural networks; Computer science; Datalogi;

   Sammanfattning : When performing predictive data mining, the use of ensembles is claimed to virtually guarantee increased accuracy compared to the use of single models. Unfortunately, the problem of how to maximize ensemble accuracy is far from solved. LÄS MER

4. 3. Population Genetic Methods and Applications to Human Genomes

   Författare :Lucie Gattepaille; Mattias Jakobsson; Kevin Thornton; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Population genetics; Human evolution; Genetic diversity; Genetic differentiation; Adaptation; Population structure; Effective population size; Biology with specialization in Evolutionary Genetics; Biologi med inriktning mot evolutionär genetik;

   Sammanfattning : Population Genetics has led to countless numbers of fruitful studies of evolution, due to its abilities for prediction and description of the most important evolutionary processes such as mutation, genetic drift and selection. The field is still growing today, with new methods and models being developed to answer questions of evolutionary relevance and to lift the veil on the past of all life forms. LÄS MER

5. 4. Constructing Evolutionary Trees - Algorithms and Complexity

   Författare :Anna Östlin; Institutionen för datavetenskap; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Computer science; Maximum homeomorphic subtrees; Consensus trees; Experiment model; Evolutionary trees; Complexity; Computational biology; Algorithms; Data structures; numerical analysis; systems; control; Datalogi; numerisk analys; system; kontroll; Biology; Biologi;

   Sammanfattning : In this thesis three general problems concerning construction of evolutionary trees are considered. Algorithms for the problems are presented and the complexity of the problems is investigated. The thesis consists of three corresponding parts. The first part is devoted to the problem of constructing evolutionary trees in the experiment model. LÄS MER

7. 5. Bioinformatic analysis of whole genome sequencing data : detection of selective sweeps and structural changes

   Författare :Khurram Maqbool; Sveriges lantbruksuniversitet; Sveriges lantbruksuniversitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES;

   Sammanfattning : Evolution has shaped the life forms for billion of years. Domestication is an accelerated process that can be used as a model for evolutionary changes. The aim of this thesis project has been to carry out extensive bioinformatic analyses of whole genome sequencing data to reveal SNPs, InDels and selective sweeps in the chicken, pig and dog genome. LÄS MER