Výsledky vyhledávání - "Ralf Kretzschmar"

FEEDFORWARD NEURAL NETWORK MODELS FOR HANDLING CLASS OVERLAP AND CLASS IMBALANCE

Autor: Ralf Kretzschmar, Fritz Eggimann, Nicolaos B. Karayiannis

Publikováno v: International Journal of Neural Systems. 15:323-338

This paper proposes a framework for training feedforward neural network models capable of handling class overlap and imbalance by minimizing an error function that compensates for such imperfections of the training set. A special case of the proposed

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74a6e9c5c488bb8019e0904862ed086d
https://doi.org/10.1142/s012906570500030x

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Neural Network Classifiers for Local Wind Prediction

Autor: Ralf Kretzschmar, Fritz Eggimann, Daniel Cattani, Pierre Eckert

Publikováno v: Journal of Applied Meteorology. 43:727-738

This paper evaluates the quality of neural network classifiers for wind speed and wind gust prediction with prediction lead times between +1 and +24 h. The predictions were realized based on local time series and model data. The selection of appropri

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::09768d4a8adf4644019597b4aba07827
https://doi.org/10.1175/2057.1

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Removal of bird-contaminated wind profiler data based on neural networks

Autor: Ralf Kretzschmar, Nicolaos B. Karayiannis, Hans Richner

Publikováno v: Pattern Recognition. 36:2699-2712

This paper presents the results of a study that relied on trainable neural network classifiers to identify and remove bird-contaminated data from wind measurements recorded by a 1290-MHz wind profiler. A wind profiler is a Doppler radar system measur

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e140ac75586eb77b1016a6c4503dd540
https://doi.org/10.1016/s0031-3203(03)00165-1

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Handling class overlap with variance-controlled neural networks

Autor: Nicolaos B. Karayiannis, F. Eggimann, Ralf Kretzschmar

Publikováno v: Proceedings of the International Joint Conference on Neural Networks, 2003..

This paper introduces variance-controlled neural networks (VCCNs), which were developed for handling class overlap. VCNNs have the same architecture as conventional feedforward neural networks; however, their training relies on a different error func

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9411cfc4175db507866f1a1553e6ea30
https://doi.org/10.1109/ijcnn.2003.1223400

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Conference

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Akademický článek

Neural Network Classifiers for Local Wind Prediction.

Autor: Kretzschmar, Ralf¹ krr@meteoswiss.ch, Eckert, Pierre¹, Cattani, Daniel¹, Eggimann, Fritz²

Publikováno v: Journal of Applied Meteorology (1988). May2004, Vol. 43 Issue 5, p727-738. 12p.

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Conference

Proceedings Of The International Joint Conference On Neural Networks 2003.

Publikováno v: Proceedings of the International Joint Conference on Neural Networks, 2003; 2003, pi-lxiv, 64p

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