Neural Network Toolbox User's Guide

What’s New in Version 4.0What’s New in Version 4.0A few of the new features and improvements introduced with this version of theNeural Network Toolbox are discussed below.Control System ApplicationsA new Chapter 6 presents three practical control systems applications:• Network model predictive control• Model reference adaptive control• Feedback linearization controllerGraphical User InterfaceA graphical user interface has been added to the toolbox. This interface allowsyou to:• Create networks• Enter data into the GUI• Initialize, train, and simulate networks• Export the training results from the GUI to the command line workspace• Import data from the command line workspace to the GUITo open the Network/Data Manager window type nntool.New Training FunctionsThe toolbox now has four training algorithms that apply weight and biaslearning rules. One algorithm applies the learning rules in batch mode. Threealgorithms 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 functionAll four functions present the whole training set in each epoch (pass throughthe entire input set).1-3