multiLayerPerceptrons multiLayerPerceptrons

Parent	oss-parent
Group	nz.ac.waikato.cms.weka
描述	This package currently contains classes for training multilayer perceptrons with one hidden layer, where the number of hidden units is user specified. MLPClassifier can be used for classification problems and MLPRegressor is the corresponding class for numeric prediction tasks. The former has as many output units as there are classes, the latter only one output unit. Both minimise a penalised squared error with a quadratic penalty on the (non-bias) weights, i.e., they implement "weight decay", where this penalised error is averaged over all training instances. The size of the penalty can be determined by the user by modifying the "ridge" parameter to control overfitting. The sum of squared weights is multiplied by this parameter before added to the squared error. Both classes use BFGS opt
Packaging	jar
Size	44.88 KB
文件	pom jar
网址	http://weka.sourceforge.net/doc.packages/multiLayerPerceptrons
发布时间	2016-10-31 16:23

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