ANNA Screenshots: (version 1.8)
The Artificial Neural Network Architecture is a Back propagation neural network class developed to fit the FLTK library v1.1.8 and the code is distributed under the GNU,GPL's,FLTK licences. The training algorithms include the Conjugate Gradient and the Levenberg-Marquardt. The distribution include the source code and a demo 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 outputs in a simple way. There is included a very nice structure editor, so you can visualize the neuronal network structure.
The input data is a very simply matrix in a plain text file format, so you just write your data in the same way. The output are taken from the last column toward the first. So if the matrix has four columns you can take as much the last three ones as outputs.
Fltk_contour Screenshots: (New version 5.2)
This is my attempt to develop an easy scientific data visualization widget for the FLTK library v1.1.8. I am developing and improving the code day to day. The widget is an OpenGL based contour visualizer for Linux, which allow you to built 2D and 3D graph of contour and colour map from scattered data set. There is not any documentation but it is easy to use. The data are in format XYZ, to load your data file is must be in standard unix ascii format. Two examples one with the topography data map of Poland with 5902 data and another with the sampled temperature on a silicon wafer. Feel free to use this code distributed under the GNU,GPL's,FLTK licences.
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