Neuronal networks for pattern recognition

Manfred Rueff; Manfred Schmutz

doi:10.1117/12.20238

1 August 1990 Neuronal networks for pattern recognition

Manfred Rueff, Manfred Schmutz

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.

Citation Download Citation

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

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available