This network consists of two types of neurons. The regular neurons and
the so called context neurons. In such networks all links leading to
context units are considered recurrent links.
The initialization function ` JE_Weights` requires the
specification of five parameters:

- , : The weights of the forward connections are randomly chosen from the interval . have to be provided in field1 and field2 of the init panel.
- : Weights of self recurrent links from context units to themselves. Simple Elman networks use . has to be provided in field3 of the init panel.
- : Weights of other recurrent links to context units. This value is often set to . has to be provided in field4 of the init panel.
- : Initial activation of all context units. has to be provided in field5 of the init panel.

Note that it is required that . If this is not the case, an error message will appear on the screen. The context units will be initialized as described above. For all other neurons the bias and all weights will be randomly chosen from the interval .

Niels.Mache@informatik.uni-stuttgart.de

Tue Nov 28 10:30:44 MET 1995