I have a set of seven parameters which are numerical values (i.e. current readings, pitch, roll and yaw angles, acceleration, etc..) and I use them to classify a vehicle behavior.
For example, if:
Y_acc = 10 m/s^2
then the vehicle behaviour is classified as A otherwise if
Y_acc = 11 m/s^2
then the vehicle is classified as B, and so on..
What is the best way to implement this kind of classification in Matlab?
Should I use a simple neural network? Or a classification method like SVM?
Is there any tutorial or example?
I have a set of data where each set of parameters is related to a specific behavior, so I can use this to train my model.