Sökning: "Artificial Neural Network"
Visar resultat 21 - 25 av 155 avhandlingar innehållade orden Artificial Neural Network.
21. Structural and neural network analyses of fracture systems at the Äspö Hard Rock Laboratory, SE Sweden
Sammanfattning : The > 10,000 fractures documented in the 450m deep Äspö Hard Rock Laboratory (HRL) provide a unique opportunity to study brittle deformation of a Swedish bedrock mass. The fracture population consists of six major sets, one subhorizontal and five sub-vertical. LÄS MER
22. Space Weather Physics, Prediction and classification of solar wind structures and geomagnetic activity using artificial neural networks
Sammanfattning : This thesis concerns the application of artificial neural network techniques to space weather physics. The networks applied include multi-layer error-backpropagation, radial basis function, and self-organized maps. LÄS MER
23. Applications of artificial neural networks for time series data analysis in energy domain
Sammanfattning : With the development of artificial intelligence techniques and increased installation of smart meters in recent years, time series analysis using historical data in the energy domain becomes applicable. In this thesis, microdata analysis approaches are used, which consist of data acquisition, data processing, data analysis and data modelling, aiming to address two research problems in the energy domain. LÄS MER
24. Drill Failure Detection based on Sound using Artificial Intelligence
Sammanfattning : In industry, it is crucial to be able to detect damage or abnormal behavior in machines. A machine's downtime can be minimized by detecting and repairing faulty components of the machine as early as possible. It is, however, economically inefficient and labor-intensive to detect machine fault sounds manual. LÄS MER
25. Resource Allocation with Potts Mean Field Neural Network Techniques
Sammanfattning : Potts mean field artificial neural network techniques are developed and applied to airline crew scheduling problems and routing problems. A propagator formalism in terms of Potts neurons is developed to handle global topological issues. An integrated method for identifying and classifying ECG complexes is presented. LÄS MER