Influence Learning Gets A Patent

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Sunday, October 17. 2010

in: Announcements, Neural Networks, Science & Tech

Influence Learning Gets A Patent

Woo HOOO!

Influence Based Learning, one of two new learning methods described in the book Netlab Loligo, has just been awarded a United States Patent. The official title of the patent is:

“Feedback-Tolerant Method And Device Producing Weight-Adjustment Factors For Pre-Synaptic Neurons In Artificial Neural Networks”
The title is a mouthful, primarily designed to help future patent searchers determine if their great idea has already been discovered and patented. It is fully described and discussed in the book, where it is simply referred to as Influence Learning.

As the patent-title expresses, one of the benefits it imparts over existing learning algorithms, is that it is feedback-tolerant. It will work fine with the current-day feed-forward networks configured as "slabs", but it also allows connecting neurons to pre-synaptic neurons as well. That is, it allows feedback, which means you don't have to configure your network with "hidden layers" anymore if you don't want to. You are free to use any connectome you'd like.

[pdf] Patent Title Page
Neural Networks Backgrounder: Ce n'est pas une l'histoire
A quick backgrounder on neural networks presented in a sketchy semi-historical format.

Posted by John R at 16:31 | Comments (0) | Trackbacks (3)

Defined tags for this entry: Influence-Learning, Netlab, Neural-Networks, Patents

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Influence Learning Gets A Patent

Loligo Blog

Sunday, October 17. 2010

Influence Learning Gets A Patent

Woo HOOO!

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