.(20 pts) The follwing table consists of training data from an employee database.

Predicted variable is status. Age,Salary and Department are inputs Design a multilayer feedforward neural network for the given data. Label the nodes in the input, hidden and output layers. Describe how you encode the input and output variables, specifiy the parameters of the network that can be changed by the backpropegation algorithm

Department Status Age Salary Sales Senior 31-35 46K-50K Sales Junior 26K-30K Sales Junior 31-35 1K-35K Systens Systems Systems Systems Marketing unior 46K-50K Senior 31-35 66K-70K 26-30 46K-50K Senior 41-45 66K-70K Senior 36-40 46K-50K Marketing unior 31-35 41K-45K Secretarv Senior 46-50 36K-40K Secretary unior 26-30 26K-30K Department Status Age Salary Sales Senior 31-35 46K-50K Sales Junior 26K-30K Sales Junior 31-35 1K-35K Systens Systems Systems Systems Marketing unior 46K-50K Senior 31-35 66K-70K 26-30 46K-50K Senior 41-45 66K-70K Senior 36-40 46K-50K Marketing unior 31-35 41K-45K Secretarv Senior 46-50 36K-40K Secretary unior 26-30 26K-30K