Use Classification Learner App in MATLAB.It also generates code after building your model.

You can using the Stacking method, please have a look at this:

http://machine-learning.martinsewell.com/ensembles/stacking/

HTH.

Hi Abbas,

I am not able to understand the question. How can we train Neural Network using SVM?

Per my understanding for training Neural Network, we use gradient optimizers to optimize the weights. Are you thinking of using SVM to find optimized weights of Neural Network? Please help me understand the requirement

Hi Abbas,

Your question is not quite clear, so I'll suggest two scenarios:

1- You can take the training data and derive different training sets from it. Then, build a prediction model from each one using the desired methods (i.e., Neural Network and  SVM). Finally, combine them to produce an ensemble of learned models.

2- Use SVM as an evaluator to the selected features (i.e., assuming that you need to perform attribute selection). After that, Neural Network constructs the prediction model from those features. 

HTH.

Samer

You can use Matlab Classification Tool as well as easiest way is to use weka which is just drag and drop. You do not need to play with any codes in weka.