NEURAL NETWORKS using MATLAB. PATTERN RECOGNITION and CLASSIFICATION by K. Taylor

NEURAL NETWORKS using MATLAB. PATTERN RECOGNITION and CLASSIFICATION by K. Taylor

Author:K. Taylor [Taylor, K.]
Language: eng
Format: azw3
Publisher: UNKNOWN
Published: 2017-02-11T05:00:00+00:00


Syntax

net.trainFcn = 'traincgf'

[net,tr] = train(net,...)

Description

traincgf is a network training function that updates weight and bias values according to conjugate gradient backpropagation with Fletcher-Reeves updates.

net.trainFcn = 'traincgf' sets the network trainFcn property.

[net,tr] = train(net,...) trains the network with traincgf.

Training occurs according to traincgf training parameters, shown here with their default values:

net.trainParam.epochs

1000

Maximum number of epochs to train



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