Class Summary |
AboutDialog |
The AboutDialog class implements the About dialog for
the learn application. |
BackProp |
The BackProp class implements the standard backward propagation
algorithm with momentum. |
ContinuousVariable |
The ContinuousVariable class provides the support necessary
for variables that can take on real, continuous values within a defined range. |
DataSet |
The DataSet class is used to load data from text files into
memory for use in training or testing. |
DecisionTree |
The DecisionTree class implements a decision tree. |
DiscreteVariable |
The DiscreteVariable class provides the support necessary
for variables that can take on a predefined set of numeric or symbolic
values. |
KMapNet |
The KMapNet class provides the support necessary
for the Kohonen Map neural network. |
LearnApp |
The LearnApp is an application that demonstrates three learing
algorithms: back propagation network, Kohonen map network, and a decision
tree. |
LearnFrame |
This is the frame for the application which demonstrates three learing
algorithms: back propagation network, Kohonen map network, and a decision
tree. |
Node |
The Node class contains the label or name and the links for
a node in a DecisionTree . |
Variable |
The Variable abstract class provides the common support
necessary for continuous, numeric discrete, and categorical variables. |