Interface  Description 

Activation 
Interface implemented by perceptron activation functions.

QuasiNewtonTrainer.Error 
Error function to be minimized by trainer.

Trainer 
Interface implemented by classes used to train a network.

Class  Description 

BinaryClassification 
Classifies patterns into two classes.

EpochTrainer 
Twostage training using randomly selected training patterns in stage I.

FeedForwardNetwork 
A representation of a feed forward neural network.

HiddenLayer 
Hidden layer in a neural network.

InputLayer 
Input layer in a neural network.

InputNode 
A
Node in the InputLayer . 
Layer 
The base class for
Layer s in a neural network. 
LeastSquaresTrainer 
Trains a
FeedForwardNetwork using a LevenbergMarquardt
algorithm for minimizing a sum of squares error. 
Link 
A link in a neural network.

MultiClassification 
Classifies patterns into three or more classes.

Network 
Neural network base class.

Node 
A
Node in a neural network. 
OutputLayer 
Output layer in a neural network.

OutputPerceptron 
A
Perceptron in the OutputLayer . 
Perceptron 
A
Perceptron node in a neural network. 
QuasiNewtonTrainer 
Trains a network using the quasiNewton method,
MinUnconMultiVar . 
ScaleFilter 
Scales or unscales continuous data prior to its use in neural network
training, testing, or forecasting.

TimeSeriesClassFilter 
Converts time series data contained within nominal categories to a lagged
format for processing by a neural network.

TimeSeriesFilter 
Converts time series data to a lagged format used as input to a neural network.

UnsupervisedNominalFilter 
Converts nominal data into a series of binary encoded
columns for input to a neural network.

UnsupervisedOrdinalFilter 
Encodes ordinal data into percentages for input to a neural network.

Copyright © 19702015 Rogue Wave Software
Built October 13 2015.