A set of MATLAB tools for neural network based identification of nonlinear dynamic systems.
|15 Apr 2010||Lissa||
The NNSYSID toolbox is a set of MATLAB tools for neural network based identification of nonlinear dynamic systems. The toolbox contains a number of m and MEX-files for training and evaluation of multilayer perceptron type neural networks within the MATLAB environment. There are functions for training of ordinary feedforward networks as well as for identification of nonlinear dynamic systems and for time-series analysis. Version 2 requires MATLAB 5.3 or higher. For MATLAB 4.2-MATLAB 5.2 it is possible to use the old Version 1.1. In this case the Signal Processing Toolbox must be available. The toolbox is completely independent of the Neural Network Toolbox and the System Identification Toolbox.
Fast, robust, and easy-to-use training algorithms.