single hidden layer | Sciweavers

32

AMAI
2002
Springer

118views Artificial Intelligence» more AMAI 2002»

Minimizing Output Error in Multi-Layer Perceptrons

13 years 11 months ago

act It is well-established that a multi-layer perceptron (MLP) with a single hidden layer of N neurons and an activation function bounded by zero at negative infinity and one at in...

Jonathan P. Bernick

claim paper

Read More »

33

click to vote

NIPS
1997

116views Information Technology» more NIPS 1997»

Learning Human-like Knowledge by Singular Value Decomposition: A Progress Report

14 years 23 days ago

Download lsa.colorado.edu

Singular value decomposition (SVD) can be viewed as a method for unsupervised training of a network that associates two classes of events reciprocally by linear connections throug...

Thomas K. Landauer, Darrell Laham, Peter W. Foltz

claim paper

Read More »

33

click to vote

ESANN
2001

129views Neural Networks» more ESANN 2001»

Penalized least squares, model selection, convex hull classes and neural nets

14 years 25 days ago

Download www.dice.ucl.ac.be

We develop improved risk bounds for function estimation with models such as single hidden layer neural nets, using a penalized least squares criterion to select the size of the mod...

Gerald H. L. Cheang, Andrew R. Barron

claim paper

Read More »

Sciweavers

Explore & Download

Productivity Tools

Document Tools

Image Tools

Sciweavers