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Neural based multi-sensory system

 
: Hosticka, B.J.; Mokwa, W.; Richert, P.

Automotive Automation Ltd., Croydon:
22nd International Symposium on Automotive Technology and Automation 1990. Proceedings. Vol.2
Croydon: Automotive Automation, 1990
ISBN: 0-947719-36-9
pp.737-743
International Symposium on Automotive Technology and Automation (ISATA) <22, 1990, Florence>
English
Conference Paper
Fraunhofer IMS ()
back-propagation pressure sensor; cross-sensitivity; gas sensor; multi-sensory-system; neural network; temperature dependency

Abstract
In this contribution we present an advanced concept of neural based multi-sensory systems. It realizes two important features: on the one hand the neural net is trained what the sensors are supposed to detect in a known environment. On the other hand it learns the intrinsic nonidealities of the sensors. Successfull experiments have been carried out with pressure where the network has learned the temperature dependence in addition to the sensor sensitivity. Further experiments were carried out for gas mixtures to determine the gas spectrum.

: http://publica.fraunhofer.de/documents/PX-26015.html