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A Matlab Toolbox is developed for the design, construction and validation of grey-box neural network models. This toolbox, available in www.diinf.usach.cl=gacuna has been tested in simulations with a continuously stirred reactor process. The grey-box model performs well for validation data with 5% ad- ditive gaussian noise for one-step-ahead (OSA) and model-predictive-output (MPO)

Development of a Matlab(R) Toolbox for the Design of Grey-Box Neural Models