Table of Contents

A. Creating the Network

1. Use the following parameters to create your first MLP neural network using FuzzyCope/3:

   Network Architecture:
   

   Input Nodes	4
   Output Nodes	3
   Bias	Check the box
   Hidden Layers	One Layer
   Number of Nodes	3

2. Press the Create button

3. Save the network as IrisMLP.wgt

4. View the network

B. Training the network

In neural net applications the weights are determined so that they minimise the Root Mean Squared errors (RMSE).

1. Open the training file that you formatted earlier - Iris.trn

2. View the training file

3. Set the parameters for training your Iris neural network:
   

   Learning Rate	0.2
   Momentum	0.8
   Epochs	500 then 1000 (increase until the terminating error is reached)
   Terminating Error	0.01
   LWF	unchecked
   Training Mode	Batch

4. Press the Train button to commence training

5. Save the trained network as TIrisMLP.wgt

C. Network Evaluation

1. Choose the Recall Tab

2. Open your recall file that you formatted earlier - Iris.rcl

3. Open a new output file for the results and name it Iris.out

4. Press the Recall Button.

5. View the output file.

6. Compare your results with the desired outputs

D. Additional Work

Try different combinations of: