- MemBrain version 09.00.02.00 (2019-01-25)
MemBrain Script Debugger version 02.00.13.00 (2019-01-08)
MemBrain DLL version 07.00.00.00 (2019-01-08, 32 Bit and 64 Bit)
MemBrain JNI Wrapper DLL version 07.00.00.00 (2019-01-08) for accessing
the DLL from Java
MemBrain DLL Declarations for Visual Basic
MemBrain C-Code Generator Library 04.00.00.00 (2019-01-08)
Self extracting installer, appr. 20 MB
Note: When installing MemBrain
ensure that you have administrator access on your computer.
You do not have to uninstall previous versions of MemBrain before installing
a new one. If you want to preserve the settings of the previous version you
are explicitly recommended to not uninstall the old version.
This is the pdf version of the MemBrain help file.
Note that the full content of this document is also available as
context specific help function by hitting F1 in MemBrain or by using the
'help on' function from MemBrain's toolbar.
Zip file, appr. 200kB
There is no installation required.
For more information on the 'MemBrain Picture Driver', see here.
There is also a text file included in the download that explains how to use the Picture
||Zip file, appr. 1.5 MB.
The zip-file also contains a help file 'Examples.chm' which provides more
details on the example files.
This help file also includes the new advanced tutorial on time
||Zip file, appr. 430kB.
Last update: 2014-07-18
Unzip in a separate folder.
See 'Readme.txt' after extraction for further details on the examples.
| VBA DLL Example
||Zip file, appr. 35kB.
This is both, a good example for using the MemBrain Dll in VBA (under
Microsoft Excel) and also a nice tool to help you evaluating the relevance of certain input
neurons of your trained neural nets.
Unzip the file and open with Microsoft Excel. See text box in spread sheet for
||Zip file, appr. 38 kB.
Last update: 2019-01-08
Object oriented C# Wrapper to make the MemBrain DLL available in C#. MemBrain
Neural Nets and Lessons can be dynamically created and used as objects.
The archive also contains a C# example project that demonstrates the
use of the Wrapper Classes.