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ASME Press Select Proceedings

Intelligent Engineering Systems through Artificial Neural Networks, Volume 20

By
Cihan H. Dagli
Cihan H. Dagli
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ISBN:
9780791859599
No. of Pages:
686
Publisher:
ASME Press
Publication date:
2010

Present day Artificial Neural Networks (ANNs) are emulated on serial computing machines, and as a result their ability to execute tasks requiring large computations in real time is severely limited. Here we propose a novel way of realizing a hardware neural network based on a minimal number of electrical elements per neuron. In its most basic form, our artificial neuron consists of a single transistor, one diode, two resistors, and, for a binary connection weight, one memristor per input. Via computer simulation, we show how this device architecture can exhibit simple neuronal behavior with an activation function that approximates a...

Abstract
Introduction
Architecture
Neuron Simulation
Learning / Training
Conclusion
Acknowledgement
References
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