Publisher review:ANN - Adaptive Neural Networks The adaptive Neural Network Library (Matlab 5.3.1 and later) is a collection of blocks that implement several Adaptive Neural Networks featuring different adaptation algorithms.It was developed mainly in June-July 2001 by Giampiero Campa (West Virginia University) and Mario Luca Fravolini (Perugia University). There are blocks that implement basically these kinds of neural networks:Adaptive Linear Network (ADALINE)Multilayer Layer Perceptron with Extended Backpropagation algorithm (EBPA)"Lewis Type" Multilayer Layer PerceptronGeneralized Radial Basis Functions NetworkDynamic Cell Structure (DCS) Network with gaussian or conical basis functionsAlso, a simulink example regarding the approximation of a scalar nonlinear function is included.Finally, the file Training.zip includes step by step instrucions on how to train the GRBF network and the supporting example.A major revision has been done as June 2007, regarding the code, type of networks, dependencies, naming, liliting mechanisms and example. Requirements: · MATLAB Release: R11.1 · Simulink
ANN is a Matlab script for Controls and Systems Modeling scripts design by Giampiero Campa.
It runs on following operating system: Windows / Linux / Mac OS / BSD / Solaris.
Operating system:Windows / Linux / Mac OS / BSD / Solaris
ANN script details 
