A Neural Network Approach to Feature Extraction in Sensor Signal Processing for Manufacturing Automation

Since off line hand-crafted conventional statistical feature selection/extraction methods are inefficient for signal-pattern classification of noisy sensor signals in manufacturing floor applications, we provide an automatic neural network approach to feature extraction, called Input Feature Scaling...

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Veröffentlicht in:	Journal of intelligent material systems and structures 1994-03, Vol.5 (2), p.247-257
Hauptverfasser:	Choon Seong Leem, Dreyfus, Stuart E.
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Exact sciences and technology Mechanical engineering. Machine design
Online-Zugang:	Volltext
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