Does the input data for neural network for classification should be normalized?

Hi everyone, i tried to create neural network for classification using nprtool but i still can't reach a good accuracy however i tried changing the training function and the number of hidden layer neurons and the size of the input so when i was looking for a solution i found that i should normalize the input data so i want to know should i do this with matlab. This is an example of my input data:

please i really need help ?

Answer 1

[Greg Heath]

MATLAB automatically normalizes input and target data and unnormalizes output results.

However, I typically normalize my regression inputs and targets to have zero mean and unit standard deviation jn order to locate and remove or modify outliers.

Hope this helps.

Thank you for formally accepting my answer

Greg

[naghmeh moradpoor]

Hi Greg, I have seen two formulas for normalisation, could I ask which formula you use for normalisation? Regards, Ngh

[afef]

Hi Greg , Can i know how do you normalize your data so i can try it? and sorry you didn't answer me for the first part of my question how to get a good accuracy for my neural network ? and did the quality of the input data have any influence on the accuracy?

Thanks