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1 August 1990 Neuronal networks for pattern recognition
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Proceedings Volume 1265, Industrial Inspection II; (1990) https://doi.org/10.1117/12.20238
Event: The International Congress on Optical Science and Engineering, 1990, The Hague, Netherlands
Abstract
To make efficient practical use of the attractive properties of standard neural network models it seems reasonable to com bine a recognition network with appropiate conventional preprocessing. In this contribution we describe the current research at IPA concerning such a hybrid approach to acoustic pattern recognition. The inputs of the recognition network are feature vectors consisting of local frequency characteristics extracted from the Wigner representation of the patterns. Simulations show that the system is capable to recognize individually learned objects in a scene.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Manfred Rueff and Manfred Schmutz "Neuronal networks for pattern recognition", Proc. SPIE 1265, Industrial Inspection II, (1 August 1990); https://doi.org/10.1117/12.20238
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