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- =======================================
- Description of the tool FEEDBACK-GENNET
- =======================================
-
- The program 'feedback-gennet' generates network definition files for
- fully recurrent networks of any size. This is not possible using bignet.
-
- The networks have the following structure:
-
- - input layer with no intra layer connections
- - fully recurrent hidden layer
- - output layer: connections from each hidden unit to each output unit AND
- OPTIONALLY fully recurrent intra layer connections in the output layer AND
- OPTIONALLY feedback connections from each output unit to each hidden unit
-
- The activation function of the output units can be set to sigmoidal or linear.
- All weights are initialized with 0.0 . Other initializations should be
- performed by the init functions in SNNS.
-
-
- Synopsis:
- ---------
-
- feedback-gennet
-
- Examples:
- ---------
-
- Generate a network with 3 input units, 3 hidden units connected to
- each input unit, each hidden unit and itself, and 1 output unit
- with sigmoid activation function connected to each hidden unit.
-
- feedback-gennet
- Enter # input units:3
- Enter # hidden units:3
- Enter # output units:1
- INTRA layer connections in the output layer (y/n):n
- feedback connections from output to hidden units (y/n):n
- Linear output activation function (y/n):n
- Enter name of network file:xor-rec.net
- working...
- generated xor-rec.net
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-
-