hello how can i use neural network to model my rainfall data?

what does training and validation and all mean in it do i need to calculate these things or are they given by matlab itself?

 Accepted Answer

NN regressors/curve-fitters are based on N examples of pairs of I-dimensional input data vectors and the corresponding O-dimensional target output vectors.
So to begin, create your input and target matrices.
[ I N ] = size(input)
[ O N ] = size(target)
Then see the documentation and examples for fitnet.
doc fitnet
help fitnet
Finally check NEWSGROUP and ANSWERS for posts using the searchword
fitnet.
Hope this helps.
Greg

2 Comments

ok thanks...but i wanted to know how do we actually decide upon the percentage for the training,tests,number of hidden neurons etc...do we have to put it there or the toolbox itself determines the number of neurons etc
That is why I recommended reading the documentation and studying the examples.
Then you can practice with one of the MATLAB data sets with which we are familiar
help nndatasets
Greg

Sign in to comment.

More Answers (0)

Categories

Find more on Deep Learning Toolbox in Help Center and File Exchange

Asked:

on 23 Sep 2013

Commented:

on 28 Sep 2013

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!