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Christian Kastner
chrisk-guest at moszumanska.debian.org
Sat Oct 4 21:10:14 UTC 2014
This is an automated email from the git hooks/post-receive script.
chrisk-guest pushed a commit to tag Version2_0_0
in repository libfann.
commit 2f7b5495e60a9548d602f5e3de9dd25777b52d04
Author: Steffen Nissen <lukesky at diku.dk>
Date: Thu Nov 13 09:33:08 2003 +0000
*** empty log message ***
---
README | 21 +++++++++++++++++++++
1 file changed, 21 insertions(+)
diff --git a/README b/README
index 82acfcb..937f42d 100644
--- a/README
+++ b/README
@@ -1,3 +1,24 @@
+Fast Artificial Neural Network Library (fann)
+
+fann is implemented in ANSI C. The library implements multilayer
+feedforward networks with support for both fully connected and sparse
+connected networks. Fann offers support for execution in fixed point
+arithmetic to allow for fast execution on systems with no floating
+point processor. To overcome the problems of integer overflow, the
+library calculates a position of the decimal point after training and
+guarantees that integer overflow can not occur with this decimal
+point.
+
+The library is designed to be fast, versatile and easy to use. Several
+benchmarks have been executed to test the performance of the
+library. The results show that the fann library is significantly
+faster than other libraries on systems without a floating point
+processor, while the performance was comparable to other highly
+optimized libraries on systems with a floating point processor.
+
+A user's guide accompanies the library with examples and
+recommendations on how to use the library.
+
For documentation please see: doc/fann_doc_complete_1.0.pdf
For installation do the following:
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