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Defuzzification strategies for fuzzy classifications of remote sensing data
P Hofmann - Remote Sensing, 2016 - mdpi.com
The classes in fuzzy classification schemes are defined as fuzzy sets, partitioning the feature
space through fuzzy rules, defined by fuzzy membership functions. Applying fuzzy …
space through fuzzy rules, defined by fuzzy membership functions. Applying fuzzy …
Automated fault detection and identification using a fuzzy-wavelet analysis technique
M Mufti, G Vachtsevanos - … Test Technology for the 21st Century …, 1995 - ieeexplore.ieee.org
A new method is proposed for fault detection and identification in complex systems. The
technique of Fuzzy Wavelet Analysis is introduced which uses a fuzzified wavelet transform …
technique of Fuzzy Wavelet Analysis is introduced which uses a fuzzified wavelet transform …
An intelligent approach to fault detection and identification
M Mufti, G Vachtskvanos - Proceedings of 1995 American …, 1995 - ieeexplore.ieee.org
A new approach is proposed for improving the performance of an intelligent fault detection
and identification scheme for dynamic systems. The methodology uses short time Fourier …
and identification scheme for dynamic systems. The methodology uses short time Fourier …
[หนังสือ][B] Fault detection and identification using fuzzy wavelets
MUR Mufti - 1995 - search.proquest.com
A new intelligent methodology for the Fault Detection and Identification (FDI) in complex
systems is proposed by combining Fuzzy Logic tools and Wavelet Transform Techniques …
systems is proposed by combining Fuzzy Logic tools and Wavelet Transform Techniques …
Fuzzy wavelets for feature extraction and failure classification
G Vachtsevanos, VK Ramani, M Mufti - Fuzzy Hardware: Architectures and …, 1998 - Springer
1 INTRODUCTION'fraditionally, model-based techniques have been used for feature
extraction [1). These techniques rely solely on an accurate model of the system. Failure …
extraction [1). These techniques rely solely on an accurate model of the system. Failure …
[หนังสือ][B] Erkennung mehrerer Objekte durch parallele Suchagenten
M Volkmer - 2000 - books.google.com
Inhaltsangabe: Einleitung: Im Rahmen der vorliegenden Diplomarbeit wird ein System zur
maschinellen Erkennung mehrerer Objekte (basierend auf Intensitätsbildern) erarbeitet …
maschinellen Erkennung mehrerer Objekte (basierend auf Intensitätsbildern) erarbeitet …