Neural Network Toolbox

New Training Functions

The toolbox now has four training algorithms that apply weight and bias learning rules. One algorithm applies the learning rules in batch mode. Three algorithms apply learning rules in three different incremental modes:

• trainb -- Batch training function
• trainc -- Cyclical order incremental training function
• trainr -- Random order incremental training function
• trains -- Sequential order incremental training function

All four functions present the whole training set in each epoch (pass through the entire input set).

Note    We no longer recommend using trainwb and trainwb1, which have been replaced by trainb and trainr. The function trainr differs from trainwb1 in that trainwb1 only presented a single vector each epoch instead of going through all vectors, as is done by trainr.

These new training functions are relatively fast because they generate M-code. The functions trainb, trainc, trainr, and trains all generate a temporary M-file consisting of specialized code for training the current network in question.

What's New in Version 4.0

Design of General Linear Networks

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