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Erschienen in: Neural Processing Letters 1/2014

01.08.2014

Design of RF MEMS Based Oscillatory Neural Network for Ultra High Speed Associative Memories

verfasst von: Masoud Baghelani, Afshin Ebrahimi, Habib Badri Ghavifekr

Erschienen in: Neural Processing Letters | Ausgabe 1/2014

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Abstract

Microelectromechanical systems are utilized alongside with transistor amplifiers and resistive connections for implementing of oscillatory associative memories. Phase locking is studied in such a network and all requirements of the circuit level implementation are satisfied. A very high gain trans-impedance amplifier operating in 1 GHz in addition to a novel automatic amplitude control circuit is employed to remove amplitude dynamics of the system. Requiring resonator characteristics are extracted and calculated as well. A new method for initialization of the network is proposed. Each neuron consumes 1.08 mW from a 1.8 V power supply. The convergence time of a typical network trained by Hebbian rule is less than 1.5 ns which results in an ultra high speed analog signal processing system.

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Metadaten
Titel
Design of RF MEMS Based Oscillatory Neural Network for Ultra High Speed Associative Memories
verfasst von
Masoud Baghelani
Afshin Ebrahimi
Habib Badri Ghavifekr
Publikationsdatum
01.08.2014
Verlag
Springer US
Erschienen in
Neural Processing Letters / Ausgabe 1/2014
Print ISSN: 1370-4621
Elektronische ISSN: 1573-773X
DOI
https://doi.org/10.1007/s11063-013-9312-y

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