neural network toolbox, prediction problem

Hello everyone!

I want to predict using Neural Network Toolbox.

I have input matrices data (n=256 x m=300)

I want to predict the future values of matrices m = from 301 to 500.

how can i do? What type of algorithm do I need to use?

[Greg Heath]

Woefully insufficient information.

[ulgi onor]

hi

I am new to the field of ANN and Neural Network Toolbox. what information do you need?

[ulgi onor]

Dear Greg

I tried to give you more information on the picture. What type of net or algorithm do I need to use?

Please show me an example?

Answer 1

[Greg Heath]

It looks like you are trying to predict a timeseries of 256 dimensional vectors beyond the known 300 examples.

1. Ordinarily, NARNET would be used. 2. However, it is only practical for timeseries vectors of small dimension (e.g., < 10). See, for example, the practice datasets obtained from

 help nndatasets
 doc  nndatasets

3. So, I suggest you use the specifics of the problem origin to drastically reduce the dimensionality of the vectors.

4. Next would be to determine the significant autocorrelation and crosscorrelation lags among the remaining dimensions.

5. You probably should discuss the essence of the problem you are trying to solve with an expert in the field. It doesn't seem to me to be an appropriate way to solve any practical problem that I can think of.

Hope this helps.

Greg