Search for dissertations about: "artificial neural networks"
Showing result 1 - 5 of 133 swedish dissertations containing the words artificial neural networks.
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1. Artificial neural networks : applications in morphometric and landscape features analysis
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
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2. Rainfall-Runoff Modelling Using Artificial Neural Networks (ANNs)
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
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3. Implementing artificial neural networks in microsimulation
Abstract : This licentiate thesis presents a work focused on investigating the possibility of using "artificial methods" such as artificial neural networks (ANN) as an analytical alternative to the conventional technique of regression. The work has been concentrated towards two different modules in the SVERIGE microsimulation model, an earnings module used for predicting individual earnings and a property value module used for predicting real estate prices. READ MORE
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4. Artificial Neural Networks (ANN) in the Assessment of Respiratory Mechanics
Abstract : The aim of this thesis was to test the capability of Artificial Neural Networks (ANN) to estimate respiratory mechanics during mechanical ventilation (MV). ANNs are universal function approximators and can extract information from complex signals. READ MORE
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5. Analysis of Electrocardiograms Using Artificial Neural Networks
Abstract : Most conventional ECG interpretation programs use decision tree logic for interpretation of the ECG. The performance is generally good but can be improved. Artificial neural networks represent a new computer method, which has proved to be of value in pattern recognition and classification tasks. READ MORE
