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author | Will Andrews <will@FreeBSD.org> | 2001-01-01 08:07:46 +0000 |
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committer | Will Andrews <will@FreeBSD.org> | 2001-01-01 08:07:46 +0000 |
commit | 7e6fb55914f1367e12dc98196ea86ac8e6432a5e (patch) | |
tree | 85f89a8b1b2167b782e22cd0e2535b4f3eb32fa5 /math/p5-AI-NeuralNet-Mesh/pkg-descr | |
parent | 9d6877cafbfdd5594276864e1c54a9c97b3fb5d7 (diff) | |
download | ports-7e6fb55914f1367e12dc98196ea86ac8e6432a5e.tar.gz ports-7e6fb55914f1367e12dc98196ea86ac8e6432a5e.zip |
Notes
Diffstat (limited to 'math/p5-AI-NeuralNet-Mesh/pkg-descr')
-rw-r--r-- | math/p5-AI-NeuralNet-Mesh/pkg-descr | 14 |
1 files changed, 14 insertions, 0 deletions
diff --git a/math/p5-AI-NeuralNet-Mesh/pkg-descr b/math/p5-AI-NeuralNet-Mesh/pkg-descr new file mode 100644 index 000000000000..ad932f941c0a --- /dev/null +++ b/math/p5-AI-NeuralNet-Mesh/pkg-descr @@ -0,0 +1,14 @@ +AI::NeuralNet::Mesh is an optimized, accurate neural network Mesh. +It was designed with accruacy and speed in mind. + +This network model is very flexable. It will allow for clasic binary +operation or any range of integer or floating-point inputs you care +to provide. With this you can change activation types on a per node or +per layer basis (you can even include your own anonymous subs as +activation types). You can add sigmoid transfer functions and control +the threshold. You can learn data sets in batch, and load CSV data +set files. You can do almost anything you need to with this module. + +Author: Josiah Bryan <jdb@wcoil.com> + +--will |