Hardware

CBP Neural Net Implemented in Hardware

Posted 21 May 2003 at 16:23 UTC by steve Share This

NASA has applied for a patent on a novel method of implementing a cascade back-propagation (CBP) neural network in VLSI hardware. Previously, even hardware-based neural networks required software-based learning algorithms. By implementing CBP learning in hardware along with the neural net, the time required to train the network is greatly reduced. NASA is calling the new system On-Chip Cascade Back Propagation Learning. Details are available in a NASA Tech Brief (PDF format, free registration required).

See more of the latest robot news!

Recent blogs

20 Apr 2014 Flanneltron (Journeyer)
19 Apr 2014 mwaibel (Master)
17 Apr 2014 shimniok (Journeyer)
8 Apr 2014 Petar.Kormushev (Master)
6 Apr 2014 steve (Master)
2 Mar 2014 wedesoft (Master)
1 Dec 2013 AI4U (Observer)
13 Nov 2013 jlin (Master)
23 Jun 2013 Mubot (Master)
13 May 2013 JLaplace (Observer)
X
Share this page