Search for dissertations about: "Artificial Neural Network"

Showing result 1 - 5 of 99 swedish dissertations containing the words Artificial Neural Network.

  1. 1. Artificial neural networks applications in morphometric and landscape features analysis

    University dissertation from Stockholm : KTH

    Author : Amir Houshang Ehsani; KTH.; [2007]
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TECHNOLOGY Other technology Environmental engineering; TEKNIKVETENSKAP Övriga teknikvetenskaper Miljöteknik;

    Abstract : In this thesis a semi-automatic method is developed to analyze morphometric features and landscape elements based on Self Organizing Map (SOM) as a unsupervised Artificial Neural Network algorithm. Analysis and parameterization of topography into simple and homogenous land elements (landform) can play an important role as basic information in planning processes and environmental modeling. READ MORE

  2. 2. Neural Network Approaches To Survival Analysis

    University dissertation from Department of Astronomy and Theoretical Physics, Lund University

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

    Abstract : 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). READ MORE

  3. 3. Neural Network Ensembles and Combinatorial Optimization with Applications in Medicine

    University dissertation from Department of Theoretical Physics, Lund University

    Author : Henrik Haraldsson; Lund University.; Lunds universitet.; [2003]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; numerisk analys; machine learning; artificial neural networks; ensemble methods; feature extraction; ECG; combinatorial optimization; mean field annealing; Computer science; numerical analysis; systems; Datalogi; control; system; kontroll; Artificial intelligens; Artificiell intelligens; Fysicumarkivet A:2003:Haraldsson;

    Abstract : Artificial neural network (ANN) and combinatorial optimization algorithms are developed, and applied to the medical domain. A novel method for training an ensemble of ANN is presented, based on random weight updates alternated with replication of networks with low error. READ MORE

  4. 4. The use of Bayesian confidence propagation neural network in pharmacovigilance

    University dissertation from Department of Theoretical Physics, Lund University

    Author : Andrew Bate; Umeå universitet.; [2003]
    Keywords : adverse drug reactions; pharmacovigilance; signal detection; spontaneous reporting; data mining; Bayesian statistics; BCPNN; neural network; medicinsk farmakologi; Medical Pharmacology;

    Abstract : The WHO database contains more than 2.8 million case reports of suspected adverse drug reactions reported from 70 countries worldwide since 1968. The Uppsala Monitoring Centre maintains and analyses this database for new signals on behalf of the WHO Programme for International Drug Monitoring. READ MORE

  5. 5. Rainfall-Runoff Modelling Using Artificial Neural Networks (ANNs)

    University dissertation from Department of Water Resources Engineering, Lund Institute of Technology, Lund University

    Author : Aman Mohammad Kalteh; Lund University.; Lunds universitet.; [2007]
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Hydrogeology; geographical and geological engineering; Hydrogeologi; teknisk geologi; teknisk geografi; Self-organizing map; Feed-forward multilayer perceptron; Forecasting; Hydrological modelling; Missing values; Rainfall-runoff modelling; Estimation; Artificial neural networks;

    Abstract : Over the last decades or so, artificial neural networks (ANNs) have become one of the most promising tools for modelling hydrological processes such as rainfall-runoff processes. In most studies, ANNs have been demonstrated to show superior result compared to the traditional modelling approaches. READ MORE