RBFNetwork

RBFNetwork implements a normalized Gaussian radial basisbasis function network. It uses the k-means clustering algorithm to provide the basis functions and learns either a logistic regression (discrete class problems) or linear regression (numeric class problems) on top of that. Symmetric multivariate Gaussians are fit to the data from each cluster. If the class is nominal it uses the given number of clusters per class. RBFRegressor implements radial basis function networks for regression, trained in a fully supervised manner using WEKA's Optimization class by minimizing squared error with the BFGS method. It is possible to use conjugate gradient descent rather than BFGS updates, which is faster for cases with many parameters, and to use normalized basis functions instead of unnormalized ones.

License	GNU General Public License 3
Categories	Net Weka Business Logic Libraries Machine Learning
GroupId	nz.ac.waikato.cms.weka
ArtifactId	RBFNetwork
Last Version	1.0.8
Release Date	Jan 16, 2015
Type	jar
Description	RBFNetwork RBFNetwork implements a normalized Gaussian radial basisbasis function network. It uses the k-means clustering algorithm to provide the basis functions and learns either a logistic regression (discrete class problems) or linear regression (numeric class problems) on top of that. Symmetric multivariate Gaussians are fit to the data from each cluster. If the class is nominal it uses the given number of clusters per class. RBFRegressor implements radial basis function networks for regression, trained in a fully supervised manner using WEKA's Optimization class by minimizing squared error with the BFGS method. It is possible to use conjugate gradient descent rather than BFGS updates, which is faster for cases with many parameters, and to use normalized basis functions instead of unnormalized ones.
Project URL	http://weka.sourceforge.net/doc.packages/RBFNetwork
Project Organization	University of Waikato, Hamilton, NZ
Source Code Management	https://svn.cms.waikato.ac.nz/svn/weka/tags/RBFNetwork-1.0.8

Download RBFNetwork

Filename	Size
RBFNetwork-1.0.8.pom
RBFNetwork-1.0.8.jar	20 KB
RBFNetwork-1.0.8-tests.jar	5 KB
RBFNetwork-1.0.8-test-sources.jar	2 KB
RBFNetwork-1.0.8-sources.jar	12 KB
RBFNetwork-1.0.8-javadoc.jar	40 KB

How to add to project

Apache Maven

<!-- https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/RBFNetwork/ -->
<dependency>
    <groupId>nz.ac.waikato.cms.weka</groupId>
    <artifactId>RBFNetwork</artifactId>
    <version>1.0.8</version>
</dependency>

Gradle Groovy

// https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/RBFNetwork/
implementation 'nz.ac.waikato.cms.weka:RBFNetwork:1.0.8'

Gradle Kotlin

// https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/RBFNetwork/
implementation ("nz.ac.waikato.cms.weka:RBFNetwork:1.0.8")

Apache Buildr

'nz.ac.waikato.cms.weka:RBFNetwork:jar:1.0.8'

Apache Ivy

<dependency org="nz.ac.waikato.cms.weka" name="RBFNetwork" rev="1.0.8">
  <artifact name="RBFNetwork" type="jar" />
</dependency>

Groovy Grape

@Grapes(
@Grab(group='nz.ac.waikato.cms.weka', module='RBFNetwork', version='1.0.8')
)

Scala SBT

libraryDependencies += "nz.ac.waikato.cms.weka" % "RBFNetwork" % "1.0.8"

Leiningen

[nz.ac.waikato.cms.weka/RBFNetwork "1.0.8"]

Dependencies

compile (1)

Group / Artifact	Type	Version
nz.ac.waikato.cms.weka : weka-dev	jar	[3.7.6,)

test (2)

Group / Artifact	Type	Version
nz.ac.waikato.cms.weka : weka-dev	test-jar	[3.7.6,)
junit : junit	jar	3.8.2

Project Modules

There are no modules declared in this project.

Versions

Version
1.0.8 Jan 16, 2015
1.0.7 Jul 18, 2014
1.0.6 Jul 15, 2014
1.0.4 Dec 18, 2012
1.0.3 Jun 29, 2012
1.0.2 May 13, 2012