activity
19962001
most citedMultilayer neural networks with extensively many hidden units

9 citations · 9 across the 1 of their papers we have counts for

collaborators

6 papers

cond-mat.stat-mech2001★ 9 cited

Multilayer neural networks with extensively many hidden units

Michal Rosen-Zvi, Andreas Engel, Ido Kanter

The information processing abilities of a multilayer neural network with a number of hidden units scaling as the input dimension are studied using statistical mechanics methods. Th…

cond-mat.dis-nn1999

Correlations between hidden units in multilayer neural networks and replica symmetry breaking

D. Malzahn, A. Engel

We consider feed-forward neural networks with one hidden layer, tree architecture and a fixed hidden-to-output Boolean function. Focusing on the saturation limit of the storage pro…

cond-mat.dis-nn1997

A multifractal phase-space analysis of perceptrons with biased patterns

J. Berg, A. Engel

We calculate the multifractal spectrum of the partition of the coupling space of a perceptron induced by random input-output pairs with non-zero mean. From the results we infer the…

cond-mat.dis-nn1996

Storage capacity of correlated perceptrons

D. Malzahn, A. Engel, I. Kanter

We consider an ensemble of single-layer perceptrons exposed to random inputs and investigate the conditions under which the couplings of these perceptrons can be chosen such th…

cond-mat1996

On the VC-dimension of neural networks with binary weights

S. Mertens, A. Engel

We investigate the VC-dimension of the perceptron and simple two-layer networks like the committee- and the parity-machine with weights restricted to values . For binary inpu…

cond-mat.dis-nn1996

Multifractality and percolation in the coupling space of perceptrons

M. Weigt, A. Engel

The coupling space of perceptrons with continuous as well as with binary weights gets partitioned into a disordered multifractal by a set of random input patterns. The multi…