Auflistung nach Schlagwort "Artificial Neural Networks"

Auflistung nach Schlagwort "Artificial Neural Networks"

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  • Autoregressive Neural Network for Cloud Concentration Forecast from Hemispheric Sky Images 
    Crisosto, Cristian (London : Hindawi, 2019)
    We present here a new method to predict cloud concentration five minutes in advance from all-sky images using the Artificial Neural Networks (ANN). An autoregressive neural network with backpropagation (Ar-BP) was created ...
  • Data Mining und Big Data Analytics : semantische Suche, Prognose und Entscheidungsunterstützung mit Künstlichen Neuronalen Netzen 
    Gleue, Christoph (Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2019)
    Diese kumulative Dissertation ist eine Zusammenfassung und kritische Reflexion von insgesamt sechs wissenschaftlichen Publikationen, an denen ich als Autor beteiligt war. Das übergeordnete Ziel dieser Arbeit ist die Analyse ...
  • Junction extraction by artificial neural network system – Jeans 
    Barsi, Arpad; Heipke, Christian; Willrich, Felicitas ([Wechselnde Verlagsorte] : ISPRS, 2002)
    The paper presents a road junction operator, which was developed for medium resolution black-and-white orthoimages. The operator uses a feed-forward neural network applied for a running window to decide whether it contains ...
  • Model Updating Strategy of the DLR-AIRMOD Test Structure 
    Patelli, E.; Broggi, M.; Govers, Y.; Mottershead, J.E. (London : Elsevier Ltd., 2017)
    Considerable progresses have been made in computer-aided engineering for the high fidelity analysis of structures and systems. Traditionally, computer models are calibrated using deterministic procedures. However, different ...
  • Numerical Methods for Algorithmic Systems and Neural Networks 
    Kinnewig, Sebastian; Kolditz, Leon; Roth, Julian; Wick, Thomas (Hannover : Institut für Angewandte Mathematik, Leibniz Universität Hannover, 2022-03-21)
    These lecture notes are devoted to numerical concepts and solution of algorithmic systems and neural networks. The course is divided into four parts: traditional AI (artificial intelligence), deep learning in neural networks, ...
  • Spare Parts Demand Forecasting in Maintenance, Repair & Overhaul 
    Lucht, Torben; Alieksieiev, Volodymyr; Kämpfer, Tim; Nyhuis, Peter (Hannover : publish-Ing., 2022)
    Despite a high degree of uncertainty about the scope of future orders and the corresponding capacity and material demands, Maintenance, Repair & Overhaul (MRO) service providers face high expectations regarding due date ...