networkDimFromSamples.m File Reference

Functions
function	networkDimFromSamples (var ns, var numIn, var numOut, var p)
	Given a number of datapoints, calculate a reasonable starting point for the network complexity. More...

Detailed Description

Authors

SUMO Lab Team

Version

2018a

Date

Copyright 2006-2018

This file is part of the Surrogate Modeling Toolbox ("SUMO Toolbox") and you can redistribute it and/or modify it under the terms of the GNU Affero General Public License version 3 as published by the Free Software Foundation. With the additional provision that a commercial license must be purchased if the SUMO Toolbox is used, modified, or extended in a commercial setting. For details see the included LICENSE.txt file. When referring to the SUMO Toolbox please make reference to the corresponding publication:

• A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design D. Gorissen, K. Crombecq, I. Couckuyt, T. Dhaene, P. Demeester, Journal of Machine Learning Research, Vol. 11, pp. 2051-2055, July 2010.

Contact : sumo@.nosp@m.sumo.nosp@m..inte.nosp@m.c.ug.nosp@m.ent.b.nosp@m.e - http://sumo.intec.ugent.be Signature [dim] = networkDimFromSamples( ns, numIn, numOut, p )

Function Documentation

function networkDimFromSamples	(	var	ns,
		var	numIn,
		var	numOut,
		var	p
	)

Given a number of datapoints, calculate a reasonable starting point for the network complexity.

Note that this is just a simple heuristic and thus it should be treated as such