The adaptive Neural Network Library is a collection of blocks that implement several Adaptive Neural Networks featuring

different adaptation algorithms.~..~



There are 11 blocks that implement basically these 5 kinds of neural networks:

1) Adaptive Linear Network (ADALINE)

2) Multilayer Layer Perceptron with Extended Backpropagation algorithm (EBPA)

3) Radial Basis Functions (RBF) Networks

4) RBF Networks with Extended Minimal Resource Allocating algorithm (EMRAN)

5) RBF and Piecewise Linear Networks with Dynamic Cell Structure (DCS) algorithm



A simulink example regarding the approximation of a scalar nonlinear function of 4 variables is included-The adaptive Neural Network Library is a collection of blocks that implement several Adaptive Neural Networks featuring different adaptation algorithms .~..~ There are 11 blocks that implement basically these five kinds of neural networks : a) Adaptive Linear Network (ADALINE) 2) Multilayer Layer 102206 with Extended Backpropagation algorithm (EBPA) 3) Radial Basis Functions (RBF) Networks, 4) RBF Networks with Extended Minimal Resource Allocating algorithm (EMRAN) 5) and RBF Networks with Piecewise Linear Dynamic Cell Structure (DCS) algorithm A Simulink example regarding the approximation of a scalar nonlinear function of four variables is included