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To assist the identification of nonlinear dynamic systems, a set of tools has been developed for the MATLAB" environment. The tools include a number of different model structures, highly effective training algorithms, functions for validating trained networks, and pruning algorithms for determination of optimal network architectures. The toolbox should be regarded as a nonlinear extension to the System Identification Toolbox provided by The MathWorks, Inc [9]. This paper gives a brief overview of the entire collection of toolbox functions.

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