Table of Contents

MLP Tutorial

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:

  • Hidden Nodes
  • Learning Rate
  • Momentum
  • Pattern / Batch Training Mode

    This page is maintained by Melanie Middlemiss
    Last modified on: 4/2/99.