NEURAL NETWORKS using MATLAB. CLUSTER ANALYSIS and CLASSIFICATION by K. Taylor

Author:K. Taylor [Taylor, K.]
Language: eng
Format: azw3
Publisher: UNKNOWN
Published: 2017-02-16T05:00:00+00:00

You can create a standard network that uses trainlm with feedforwardnet or cascadeforwardnet.

To prepare a custom network to be trained with trainlm,

1. Set net.trainFcn to 'trainlm'. This sets net.trainParam to trainlm's default parameters.

2. Set net.trainParam properties to desired values.

In either case, calling train with the resulting network trains the network with trainlm.

See help feedforwardnet and help cascadeforwardnet for examples.

Examples

Here a neural network is trained to predict median house prices.

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