Design of RF MEMS Based Oscillatory Neural Network for Ultra High Speed Associative Memories |
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Authors: | Masoud Baghelani Afshin Ebrahimi Habib Badri Ghavifekr |
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Affiliation: | 1. Department of Engineering, Ilam University, Pazhouhesh Blv., Ilam, Iran 2. Sahand University of Technology, Sahand New Town, Tabriz, Iran
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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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