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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

License
Categories

Categories

Net Weka Business Logic Libraries Machine Learning
GroupId

GroupId

nz.ac.waikato.cms.weka
ArtifactId

ArtifactId

RBFNetwork
Last Version

Last Version

1.0.8
Release Date

Release Date
Type

Type

jar
Description

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

Project URL

http://weka.sourceforge.net/doc.packages/RBFNetwork
Project Organization

Project Organization

University of Waikato, Hamilton, NZ
Source Code Management

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
Browse

How to add to project

<!-- 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>
// https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/RBFNetwork/
implementation 'nz.ac.waikato.cms.weka:RBFNetwork:1.0.8'
// https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/RBFNetwork/
implementation ("nz.ac.waikato.cms.weka:RBFNetwork:1.0.8")
'nz.ac.waikato.cms.weka:RBFNetwork:jar:1.0.8'
<dependency org="nz.ac.waikato.cms.weka" name="RBFNetwork" rev="1.0.8">
  <artifact name="RBFNetwork" type="jar" />
</dependency>
@Grapes(
@Grab(group='nz.ac.waikato.cms.weka', module='RBFNetwork', version='1.0.8')
)
libraryDependencies += "nz.ac.waikato.cms.weka" % "RBFNetwork" % "1.0.8"
[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
1.0.7
1.0.6
1.0.4
1.0.3
1.0.2