Neural Network in Matlab

I have input and output data to train neural network. How can I predict the following data using Matlab?

Answer 1

[Greg Heath]

For regression or curve-fitting see documentation and an example using

 help fitnet
 doc fitnet

For classification or pattern recognition see documentation and an example using

 help patternnet
 doc patternnet

Otherwise provide more thorough information

Hope this helps.

Greg

[Tien Tran]

thank for your answer Mr.Greg.

However, my question means that I have input data (such as: Pressure, temperature, gravity), output data (z-factor), with 100 input data, I have corresponding 100 output data. I have used ANN in Matlab to train it. So, if I have other 200 input data without output data ,what can I do to know result?

[Greg Heath]

The obvious answer is to run the input through the trained net.

If the net was trained to prevent overfitting or overtraining an overfit net, the only thing I can think of is to add noise to the original data to estimate it's generalization ability.

Good Luck.

Greg

[Tien Tran]

I have understood. Thank for your answer.

However, How to add bias for input without output? Can you give me a example? Wish you the best

[Greg Heath]

I do not understand why you need to add a bias to anything.Please explain what you are doing. I have a feeling that you didn't understand.

Greg

[Tien Tran]

Yes. Indeed, I haven't yet understood about neural network. My school in Vietnam don't teach this knowledge. I read scientific article and find a lot of research with ANN, so I am finding ANN in Matlab. Can you explain detail about ANN, what is main purpose of ANN?. I must have input and corresponding output to train data. However, if I know output why I have to use ANN? Please, explaining for me this stupid question

[Greg Heath]

The net is a mathematical model for obtaining answers when only the input unknown. The caveat is that the properties of the new input should be similar to those of the training and testing data.

[Tien Tran]

Thank Mr.Greg Heath

I have created a neural network for myself. The train performance, R is equal 1, so is it true? Because I have read that ANN just predict approximately

[Greg Heath]

It is not unusual to obtain R=1 for trivial problems.

Try your hand at the MATLAB examples obtained by using the commands

 help nndatsets

 doc nndatasets

Hope this helps.

Greg