Modified Kolmogorov's Neural Network in the Identification of Hammerstein and Wiener Systems PROJECT TITLE :Modified Kolmogorov's Neural Network in the Identification of Hammerstein and Wiener SystemsABSTRACT:This brief deals with the possibilities of using the modified Kolmogorov's neural network for the identification of non-linear dynamic systems, among them the Wiener and Hammerstein systems. The algorithm of training the network is simple, well convergent and with a small error of approximation. The modified neural network is characterized by a simple computer algorithm; it also omits complicated techniques of back propagation. The simulation results are shown to illustrate the modified Kolmogorov theorem. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Tangent Hyperplane Kernel Principal Component Analysis for Denoising Reducing the Number of Support Vectors of SVM Classifiers Using the Smoothed Separable Case Approximation
