Quick search Find article
Quick search
Find article

Increased storage capacity for hierarchically structured information in a neural network of Ising type

L B Ioffe, R Kuhn and J L van Hemmen

Show affiliations


Modelling formal neurons by Ising spins, the authors describe a simple two-neuron interaction which allows optimal storage capacity for hierarchically structured information. This takes care both of the low-activity limit in simple, Hopfield-type, networks and of the correlations which occur inside the classes of information hierarchies.


PACS

07.05.Mh Neural networks, fuzzy logic, artificial intelligence

02.60.Pn Numerical optimization

MSC

82C32 Neural nets (See also 68T05, 91E40, 92B20)

65K10 Optimization and variational techniques (See also 49Mxx, 93B40)

Subjects

Computational physics

Instrumentation and measurement

Dates

Issue 21 (7 November 1989)



View by subject




Export








Please login to access our web services, or create an account if you don't yet have one.

You must have cookies enabled in your web browser to be able to login.

Username
Password

Forgotten your password? Get a new one here.