a set of C++ library classes
for neural networks development



File format.

o Input data file
File for storing the input data
o MLP output file
Computed outputs of the neural net
o PND output file
Computed outputs of the PND ensemble
o File for storing Multi-Layer Perceptron
File for storing weights and parameters of a MLP.
o File for storing a PND
File for storing weights and parameters of a PND ensemble
o Cross validation file
File for storing cross validation results
o Output of nn application.
Output format of the application for training and testing Multi Layer Perceptrons (MLP) and single layer perceptrons.
o Output of pnd application.
Output format of the application for training and testing Parallel Non linear Dichotomizers
o Output of nn_cv application.
Output format of the application for training and testing MLP using cross-validation techniques
o Output of pnd_cv application.
Output format of the application for training and testing PND ensembles using cross-validation techniques.
Format specifications of the files used and generated by NEURObjects library. Here are also specified and exemplified the format of the output of NEURObjects applications.

Alphabetic index Hierarchy of classes


Last Updated February 2001
For comments and suggestions mail to Giorgio Valentini