Odor discrimination using binary spiking neural network

Details Odor discrimination using binary spiking neural network Odor discrimination using binary spiking neural network

2008-04-01

2008-04-01

Pihulic, Daniel (Department: 3662)

Data processing: artificial intelligence

Neural network

Learning task

Statutory Invention Registration

active

10810429

ABSTRACT:
An odor discrimination method and device for an electronic nose system including olfactory pattern classification based on a binary spiking neural network with the capability to handle many sensor inputs in a noise environment while recognizing a large number of potential odors. The spiking neural networks process a large number of inputs arriving from a chemical sensor array and implemented with efficient use of chip surface area.

REFERENCES:
patent: 2003/0144746 (2003-07-01), Hsiung et al.
‘MOS Fully Analog Reinforcement Neutral Network Chip’: Al-Nsour, Abdel-Aty-Zohdy, 2001, IEEE, 0-7803-6685-9, 237-240.
Japan Patent Publication JP 05-187985, Fumihiro, 1992, Japan Patent Office, detailed description section.
‘Pulsed Neural Networks’: Maass, Bishop, 1999, MIT Press, xiii-xix, p. 17-18.

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