Sökning: "Artificial neural networks ANN"
Visar resultat 1 - 5 av 45 avhandlingar innehållade orden Artificial neural networks ANN.
1. Radar Signal Processing using Artificial Neural Networks
Sammanfattning : This thesis combines radar signal processing, with data driven artificial neuralnetwork (ANN) methods. Signal processing algorithms are often based on modelingassumptions of how the data was formed. In some cases, such models are sufficientfor designing good, or even optimal, solutions. LÄS MER
2. Artificial Neural Networks (ANN) in the Assessment of Respiratory Mechanics
Sammanfattning : 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. LÄS MER
3. Rainfall-Runoff Modelling Using Artificial Neural Networks (ANNs)
Sammanfattning : 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. LÄS MER
4. Implementing artificial neural networks in microsimulation
Sammanfattning : 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. LÄS MER
5. Highly parallel computers for artificial neural networks
Sammanfattning : During a number of years the two fields of artificial neural networks (ANNs) and highly parallel computing have both evolved rapidly. In this thesis the possibility of combining these fields is explored, investigating the design and usage of highly parallel computers for ANN calculations. LÄS MER