Power Aware Learning for Class AB Analogue VLSI Neural Network
Modi, Sankalp, Wilson, Peter and Brown, Andrew (2006) Power Aware Learning for Class AB Analogue VLSI Neural Network. In, IEEE International Symposium on Circuits and Systems (ISCAS 2006), Kos, Greece, 21 - 24 May 2006.
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Description/Abstract
Recent research into Artificial Neural Networks (ANN) has highlighted the potential of using compact analogue ANN hardware cores in embedded mobile devices, where power consumption of ANN hardware is a very significant implementation issue. This paper proposes a learning mechanism suitable for low-power class AB type analogue ANN that not only tunes the network to obtain minimum error, but also adaptively learns to reduce power consumption. Our experiments show substantial reductions in the power budget (30% to 50%) for a variety of example networks as a result of our power-aware learning.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Additional Information: | Event Dates: May 21-24, 2006 |
| Keywords: | Artificial Neural Networks, ANN hardware, Low-power, Power-aware, learning |
| Divisions: | Faculty of Physical and Applied Science > Electronics and Computer Science > EEE |
| Item ID: | 262564 |
| Date Deposited: | 12 May 2006 |
| Last Modified: | 26 Apr 2013 03:41 |
| Contributors: | Modi, Sankalp (Author) Wilson, Peter (Author) Brown, Andrew (Author) |
| Date: | 2006 |
| Additional Information: | Event Dates: May 21-24, 2006 |
| Status: | Published |
| Further Information: | Google Scholar |
| ISI Citation Count: | 0 |
| URI: | http://eprints.soton.ac.uk/id/eprint/262564 |
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