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- =============================================================================
- README file for the example files patmat.xxx
- =============================================================================
-
-
- Description: This network is a toy pattern matching network,
- ============ a feedforward auto-associator network.
-
- This network is derived from the letters.net network. Instead of a
- classification output layer it has an output layer which is identical
- to the input layer. Both are 5x7 matrices of binary values.
-
-
- Pattern-Files: patmat.pat
- ==============
-
- The pattern-file patmat.pat contains 6 training patterns only. The
- patterns here have binary values of 0 and 1 but SNNS treats all inputs
- and outputs as real valued. You may best use this network and pattern
- file for your own experiments to generate or modify patterns from the
- user interface.
-
-
- Network-Files: patmat.net
- ==============
-
- The network contains a trained network file with the following topology:
- 35 input neurons
- 10 hidden neurons
- 35 output neurons
-
-
- Config-Files: patmat.cfg
- =============
-
- This network uses one 2D display and a 3D display in its standard
- configuration.
-
-
- Hints:
- ======
-
- Use this network and pattern file for your own early experiments with
- the 2D display network editor. Try all the commands to
- insert/delete/modify units and links.
-
- Try also to generate this network from scratch with the BIGNET tool
- and perform your initial training experiments with it. You don't loose
- anything of you accidentally overwrite it.
-
-
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- End of README file
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-