RBFNetwork RBFNetwork

Parent	oss-parent
Group	nz.ac.waikato.cms.weka
描述	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 unnormali
Packaging	jar
Size	30.37 KB
文件	pom jar
网址	http://weka.sourceforge.net/doc.packages/RBFNetwork
发布时间	2015-01-16 10:39

dependencies

Group	Artifact	Version
nz.ac.waikato.cms.weka	weka-dev	[3.7.6,)
nz.ac.waikato.cms.weka	weka-dev	[3.7.6,)
junit	junit	3.8.2

developers

eibe

Eibe Frank

licenses

GNU General Public License 3

http://www.gnu.org/licenses/gpl-3.0.txt