Why in different execution different performance comes in the Neural Network same program ?

 采纳的回答

The state of the RNG is different. Therefore the random initial weights and random trn/val/tst data divisions are different.
For examples of initializing the RNG so that runs can be duplicated try searching on
greg rng(4151941)
greg rng(0)
greg rng('default')

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Can I make the performance value for every execution. If it is possible what i ave to do in coding ?
If you set the RNG to the same state before the 1st random number assignment, the runs will be duplicated.
Did you perform the 3 searches I recommended?
Sir, I have attached my Matlab code and dataset file . Can You check and guide me to make constant performance for every execution
You wouldn't have to post your data for me to do your work if you had performed the searches I recommended.

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