Simulation and Modelling.Neural Network

1. Go to the UCI machine Learning repository site as indicated below and download iris dataset. https://archive.ics.uci.edu/ml/index.php

Successfully downloaded dataset and ran command: load iris_dataset to load iris_Input.xlsx and irisTarget.xlsx

2. Determine number of instances and number of attributes.

% number of attributes iris_Input

length(irisInputs)

size(irisInputs)

% number of attributes iris_Target

length(irisTargets)

size(irisTargets)

3. Use four different training function available in nntool and consider two performance metrics to determine most suitable and optimum training function for this dataset.

My problem is how to determine most suitable & optimun training function?? According to I used Linear design and Linear train because they provide output quick

4. Present all the outputs and discuss them.

And how to present the output ?? And I am clueless on how to present output,

Kindly assist, if the above-mentioned answers are correct/incorrect, and assist with description of what is expected in number 4,

Thank you