NNSYSID Toolbox
The NNSYSID toolbox is a set of MATLAB tools for neural network based identification of nonlinear dynamic systems.An add-on for the 'NNSYSID-toolbox'. The toolkit consists of a set of functions for design and simulation of neural network based control systems.The Netlab simulation software is designed to provide the central tools necessary for the simulation of theoretically well founded neural network algorithms for use in teaching, research and applications development. (for Book: Neural Networks for Pattern Recognition, C.M. Bishop)
Neural Network based system identification toolbox.General Regression Neural Networks (GRNN) are memory-based feed forward networks based on the estimation of probability density functions. GRNNs feature fast training times, can model non-linear functions, and have been shown to perform well in noisy environments given enough data.Probabilistic Neural Networks (PNN) are a class of neural networks which combine some of the best attributes of statistical pattern recognition and feed-forward neural networks.
