void Train(
	Network network,
	double[,] xData,
	double[,] yData
)

Sub Train ( 
	network As Network,
	xData As Double(,),
	yData As Double(,)
)

void Train(
	Network^ network, 
	array<double,2>^ xData, 
	array<double,2>^ yData
)

abstract Train : 
        network : Network * 
        xData : float[,] * 
        yData : float[,] -> unit 

Parameters

network

Type: Imsl.DataMining.NeuralNetwork
A Network object, which is the Network to be trained.

xData

Type: SystemDouble
A double matrix containing the input training patterns.

yData

Type: SystemDouble
A double matrix containing the output training patterns.

The number of columns in xData must equal the number of nodes in the ?InputLayer. Each row of xData contains a training pattern.

The number of columns in yData must equal the number of Perceptrons in the OutputLayer. Each row of yData contains a training pattern.

Reference