ann
所属分类：人工智能/神经网络/深度学习
开发工具：matlab
文件大小：145KB
下载次数：51
上传日期：2009-09-13 18:32:44
上 传 者：
jodonandy
说明： 自适应神经网络的源代码
Adaptive Neural Networks
自适应神经网络是实现神经网络自适应算法的集合
(Adaptive neural network source code
Adaptive Neural Networks
Adaptive neural network is to achieve a collection of neural network adaptive algorithm)
文件列表:
ann.mdl (183983, 2007-05-10)
anndemo.mdl (23417, 2007-05-10)
contents.m (273, 2007-04-29)
dcsgl2.dll (25600, 2007-04-29)
dcsgl2.mexw32 (28672, 2007-10-18)
demos.m (591, 2007-05-10)
emran8.dll (24064, 2007-04-29)
emran8.mexw32 (24576, 2007-10-18)
info.xml (625, 2007-04-29)
license.txt (1336, 2009-06-16)
src.z.p (42809, 2007-05-10)
training.zip (45624, 2008-02-14)
vrmult.dll (49152, 2000-10-03)
vrmult.mexw32 (20480, 2007-10-18)
CONTENTS:
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ann.mdl - adaptive neural network library
anndemo.mdl - demo file
contents.m - info file for the Matlab Help and Ver commands
info.xml - info file for the Matlab Start Menu
demos.m - info file for the Matlab Demos Menu
emran8.dll - dll file for grbf network
dcsgl2.dll - dll file for the gdcs network
vrmult.dll - dll file for real matrices multiplication
source.zip - compressed folder containing source code
training - compressed folder containing example on grbf training
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INSTALLATION:
Unzip the file in a folder of choice, usually under the "toolbox" folder
under the Matlab main installation folder.
From Matlab, open the "Set Path" interface from the "File" menu,
and use the "Add with Subfolders" feature to add the new folder
to the matlab path. Then Save and exit the Set Path dialog box.
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HOW TO USE THE LIBRARY:
From matlab, use the command "ann" to open the library, and double click
on the "ann demo" block to open the main demo. This should open a simulink
scheme capable of running "out of the box" with any matlab version from
R11 to R2007a, that is from Matlab 5.3 to 7.4.
To use the library blocks, just drag and drop them into any simulink scheme.
The folder "training" contains instructions on how to train the GRBF network.
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ACKNOWLEDGMENTS:
Partial support for the latter development phases of this library
was given by the NASA Grant # NCC5-685
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G.Campa, West Virginia University, October 2007
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