How can I get Same Results form multiple networks with same network architecture, network options and training and validation data ?

Hi everyone

I want to train the best neural network for my data. for this porpose I compared many parameter that affect the network, for example : number of layers. but for constant layer, every time I run the code, resluts (RMSE and ...) are not same. I guess this problem related to randomness of training, such as Shuffle in training option or initializing of weights ans biases. I set Training ans Validation data manually with out any changing and added this commands to my code :

option = trainingOptions('Shuffle','never');

but it didn't give same RMSE. what should I do ?

best regards

[Amir Hossein Asadian]

Can't anyone help me ?