The Artificial Neural Network Architecture is a Back propagation neural network class developed to fit the FLTK library v1.1.7. The training algorithms include the Conjugate Gradient and the Levenberg-Marquardt more are to be added. The distribution include the source code and a demo project for Linux systems. The structure is very flexible and you can change the number of inputs, number of layers, number of neurons per layer and the numbers of outputs in a simple way. There is included a very nice structure editor, so you can visualize the neuronal network structure. It is distributed under the GNU,GPL's,FLTK licences. The input data is a very simply matrix in a plain text file format, so you just write your data in the same way.
