r36058 - in /packages/scilab-toolboxes/ann/trunk/debian: changelog control
sylvestre-guest at users.alioth.debian.org
sylvestre-guest at users.alioth.debian.org
Sat Dec 12 13:31:00 UTC 2009
Author: sylvestre-guest
Date: Sat Dec 12 13:30:59 2009
New Revision: 36058
URL: http://svn.debian.org/wsvn/debian-science/?sc=1&rev=36058
Log:
Description improved (Closes: #560375)
Modified:
packages/scilab-toolboxes/ann/trunk/debian/changelog
packages/scilab-toolboxes/ann/trunk/debian/control
Modified: packages/scilab-toolboxes/ann/trunk/debian/changelog
URL: http://svn.debian.org/wsvn/debian-science/packages/scilab-toolboxes/ann/trunk/debian/changelog?rev=36058&op=diff
==============================================================================
--- packages/scilab-toolboxes/ann/trunk/debian/changelog (original)
+++ packages/scilab-toolboxes/ann/trunk/debian/changelog Sat Dec 12 13:30:59 2009
@@ -1,3 +1,9 @@
+scilab-ann (0.4.2.3-3) unstable; urgency=low
+
+ * Description improved (Closes: #560375)
+
+ -- Sylvestre Ledru <sylvestre at debian.org> Sat, 12 Dec 2009 14:25:18 +0100
+
scilab-ann (0.4.2.3-2) unstable; urgency=low
* Same as 0.4.2.3-1 due to a bug in dak
Modified: packages/scilab-toolboxes/ann/trunk/debian/control
URL: http://svn.debian.org/wsvn/debian-science/packages/scilab-toolboxes/ann/trunk/debian/control?rev=36058&op=diff
==============================================================================
--- packages/scilab-toolboxes/ann/trunk/debian/control (original)
+++ packages/scilab-toolboxes/ann/trunk/debian/control Sat Dec 12 13:30:59 2009
@@ -13,20 +13,21 @@
Package: scilab-ann
Architecture: all
Depends: ${shlibs:Depends}, ${misc:Depends}, scilab (>= 5.1.1)
-Description: Scilab toolbox for artificial neural networks
- Current features
- - Only layered feedforward networks are supported *directly* at the moment
+Description: Scilab module for artificial neural networks
+ This module implements artificial neural networks capabilities
+ into the Scilab language.
+ Current features are:
+ * Only layered feedforward networks are supported *directly* at the moment
(for others use the "hooks" provided)
- - Unlimited number of layers
- - Unlimited number of neurons per each layer separately
- - User defined activation function (defaults to logistic)
- - User defined error function (defaults to SSE)
- - Algorithms implemented so far:
+ * Unlimited number of layers
+ * Unlimited number of neurons per each layer separately
+ * User defined activation function (defaults to logistic)
+ * User defined error function (defaults to SSE)
+ * Algorithms implemented so far:
* standard (vanilla) with or without bias, on-line or batch
* momentum with or without bias, on-line or batch
* SuperSAB with or without bias, on-line or batch
* Conjugate gradients
* Jacobian computation
* Computation of result of multiplication between "vector" and Hessian
- - Some helper functions provided
-
+ * Some helper functions provided
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