By Topic

Binary neural systems: combining weighted and weightless properties

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $31
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Aleksander, I. ; Dept. of Electr. & Electron. Eng., Imperial Coll. of Sci., Technol. & Med., London, UK ; Clarke, T.J.W. ; Braga, A.P.

A neural function is developed that combines the characteristics of weightless and weighted binary neurons. A new combined generalisation algorithm is presented and applied to a neural state machine which is capable of learning to respond to sequences of inputs. The difficulty with such tasks lies in learning appropriate internal state assignments. A particular “iconic” method of solving this problem is discussed. The analysis includes a discussion of implementational issues

Published in:

Intelligent Systems Engineering  (Volume:3 ,  Issue: 4 )