Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Bert Klöppel"'
Publikováno v:
ATZelektronik. 14:38-43
Publikováno v:
ATZelectronics worldwide. 14:38-43
Dieser Band beschreibt die fortgeschrittenen OOP-Techniken in C++. Die aktuellen Sprachfeatures von ANSI C++ werden in vollem Umfang dargestellt, didaktisch gegliedert in einen Grundlagen- und einen Vertiefungsteil. Ebenso werden Entwurfsmuster oder
Autor:
P. Dufeu, Lutz G. Schmidt, M. Ziller, Werner Herrmann, Georg Winterer, Bert Klöppel, Andreas Heinz
Publikováno v:
Psychiatry Research. 78:101-113
The capability of predicting relapse in chronic alcoholism using quantitative EEG was investigated. For this purpose, 78 in-patients with alcoholism underwent EEG recordings (eyes closed) 7 days after the beginning of detoxification. Additionally, ot
Autor:
Bert Klöppel
Publikováno v:
Neuropsychobiology. 29:39-46
This paper presents the results of the practical use of artificial neural networks in the field of EEG analysis. It describes the general methodology of application as well as a case study of a discrimination of depressive and psychotic patients usin
Autor:
Bert Klöppel
Publikováno v:
Neuropsychobiology. 29:33-38
This paper discusses the general usability of artificial neural networks for the analysis of EEG data. The advantages and drawbacks of this new technology are compared, especially from the perspective of medical computer science. Furthermore this tex
Publikováno v:
Neuropsychobiology. 37(1)
Artificial neural networks (ANN) are widely used to solve problems of differentiating between groups. However, serious comparisons of this method with the traditional procedure for such tasks (discriminant analysis) are rare. Discussing the results o
Publikováno v:
Journal of sleep research. 4(2)
Artificial neural networks are well known for their good performance in pattern recognition. Their suitability for detecting REM sleep periods on the basis of preprocessed EEG data in humans under clinical conditions was tested and their performance
Publikováno v:
Psychiatry Research: Neuroimaging. 68:183-184