home *** CD-ROM | disk | FTP | other *** search
-
- SYNWORKS
-
- A neural network development tool for the CBM Amiga.
-
- Written & Copyright by
-
- Michael Kaiser
- Im kleinen Feld 5
- 3530 Warburg 1
- Tel. 05641/4521
-
- or
-
- Schindweg 3
- 7500 Karlsruhe 41
- Tel. 0721/407968
-
-
- -----------------------------------------------------
-
-
- SynWorks was developed in addition of an M.S. work in cooperation with
- HP, Germany. It is one of the first Amiga tools for "AI-applications",
- so it may give the Amiga-market a "kick" in the direction of science.
-
- The PD-Version does not contain all Features of the professional one,
- but I think it is very good to get a first impression of what neural
- network are and how they could be used.
-
- If you'd like to get some information of neural network theory,
- you may read one of the following books/articles:
-
- 1. R. Beale, T. Jackson
- Neural computing - an introduction
- Adam Hilger Bristol, Philadelphia, New York
- 1. edition 1990
-
- 2. Robert Hecht-Nielsen
- Neurocomputing
- Addison-Wesley,
- 1. edition 1990
-
- ------------------------------------------------------------------------
-
- If you like SynWorks and would be glad to get a full version,
- including linkable object files for nn-use in own applications,
- manuals and a neural-network tutorial,
- please send $70 (US) or DM 120,- (europe) to
-
- Michael Kaiser
- Im kleinen Feld 5
- D-3530 Warburg 1
- West Germany
-
- For additional $30 / DM 50,- you'll also get SynTools incl. manual,
- a tool to display and preprocess synworks training & test files.
-
- ----------------------------------------------------------------------
-
- INSTALLATION
-
- You need at least 1 MByte of memory.
-
- - NO HARDDISK:
-
- Copy your original CBM WorkBench 1.3 or 2.0 to another disk.
- Remove the following:
-
- FONTS: all exept topaz
-
- DEVS: all printers exept the one you possess.
-
- SYSTEM:your choice
-
- TOOLS: your choice
-
- C: your choice,
-
- so that you get about 400 KByte of free disk space.
- Modify your startup-sequence to get a RAM-DISK,
- reboot your computer.
-
- Insert the SynWorks/Fish-Disk, open it and copy the SYNWORKS-DRAWER
-
- a) to the RAM DISK (if you have one dd)
-
- b) to the prepared WB-Disk.
-
- If you have one disk, re-insert the WB-Disk and copy the SYNWORKS-DRAWER
- to it.
-
- - HARDDISK:
-
- Insert the SynWorks/Fish-Disk, open it and copy the SYNWORKS-DRAWER
- to the partition you want.
-
- ----------------------------------------------------------------------
-
- SETTING UP:
-
- If you start SynWorks the first time, it will probably display an
- error message "SynWorks-Title not found" and/or "SynWorks-Screendisplay"
- not found.
- To complete the installation, ignore these messages and select
- "Setup/Preferences" after starting SynWorks.
-
- Set the Path "Synworks-Path" to the one you installed SynWorks in,
- also set the Editor "Editor" to the one you want to use.
- Select "Use prefs" to save preferences.
-
- Select "Setup/Screendisplay" and modify the given values if you want,
- then select "OK" to save.
-
- -----------------------------------------------------------------------
-
- FIRST STEPS:
-
- This text is no manual, but after you have correctly installed SynWorks,
- you should play a little bit with its features.
- To do this, select "NetWork/Load NetWork", enter the "networks"-directory
- (relative to your SynWorks-Path) and doubleclick on the "xor_bp.nwk"
- entry. A backpropagation-network soving the XOR-Problem will appear,
- which may be used as playground.
-
- ----------------------------------------------------------------------
-
- FILE FORMAT:
-
- SynWorks uses ASCII-Files for training and test, normally reading
- one input vector from one line in the file.
- It knows about some special characters:
-
- "!" : All following chars in the line are comments.
-
- ";" : The vector contains also the following line
-
- Look at the XOR.INP file to check this.
-
- ---------------------------------------------------------------------------
-
- CONSTRAINS:
-
- The SynWorks-PD Version supports following
- network models:
-
- Backpropagation
- Perceptron
- Kohonen
-
- The number of neurons per layer must be smaller than 11.
-
- --------------------------------------------------------------------------
-
- Last, but not least: Thanks to Fred Fish for all his work !
-
- --------------------------------------------------------------------------
-
-
-
-
-
-
-
-
-
-