annie is an ANN, ie, Artificial Neural Network library developed in C++. It can be used to implement various kinds of Neural networks like Multi-Layer Perceptron, Radial basis function networks, Hopfield networks etc.
Single-layer Neural networks can be trained using various learning algorithms. The best-known algorithms are the Adaline, Perceptron and Backpropagation algorithms for supervised learning. The first two are specific to single-layer Neural networks while the third can be generalized to multi-layer perceptrons.
This demo nstrates the use of the reversible jump MCMC simulated annealing for Neural networks. This algorithm enables us to maximise the joint posterior distribution of the network parameters and the number of basis function. It performs a global search in the joint space of the parameters and number of parameters, thereby surmounting the problem of local minima. It allows the user to choose among various model selection criteria, including AIC, BIC and MDL
Name:Neural Network Control, for Matlab,tipical description for control problems with NN method, additionally, there are some useful examples to be referenced.
