Multilayered feed-forward neural network software written in C++. Backpropagation and RPROP are available as training algorithms. Design goals: speed of execution when calculating the output to new data, and quality of training (preprocessing: PCA).
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2005-03-17 Jonas Maaskola <nayme@users.sourceforge.net> * version 0.3-RC1: no more dependence on the GSL. * new dependence on a C-language binding to a BLAS implementation. * this change should make calculations faster.
This is an initial release of example files.
version 0.2: insilicobrain accepts incoming data from standard input.
new release of insilicobrain in version 0.1.
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