**Overview**

A dialog box used to view and edit the basic parameters of new feedforward neural networks. Accessed through the Preferences Panel.

**Preferences**

*Hidden Unit Coef:*The coefficient that is used to multiply the value that is used to calculate the automatically calculated number of hidden units in a network. A value between 0 and 1 will decrease the number of hidden units and a value above 1 will increase it.*Learning Rate:*The learning rate of the neural network. This affects the number of iterations needed for the network to converge as well as the probability of it falling into a local minimum in error space.*Momentum:*The momentum of the neural network. This affects the number of iterations needed for the network to converge as well as the probability of it falling into a local minimum in error space.*Min Initial Weight:*The minimum values of weights between network units when these weights are initially randomly generated.*Max Initial Weight:*The maximum values of weights between network units when these weights are initially randomly generated.

**Buttons**

*OK:*Stores the entered settings and returns to the Preferences Panel.*Cancel:*

**Warnings**

- These parameters are used when new neural networks are generated during training. They do not affect existing trained neural networks used during classification.
- All values entered must be 0 or greater.

**Screen Shot**