How to create dataset from my tribological experimental data?
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I have a doubt in using ANN. I have some experimental results with me. There is a total of 27 experiments (L27 array). Three Inputs Load (3 level), frequency (3 level) and weight % (4 level). There are two outputs viz., Coefficient of friction and Specific wear rate. I need to predict the outputs for the input levels beyond those values which I have conducted the experiment. Can you please guide me to train a successful network for correct prediction using any advance tool in MATLAB 2023a? I have no idea selecting no. of hidden layers,no of neurons, which transfer function, epochs, mu,mu_fail, goal etc etc. Please support me in this problem.
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Shreeya
il 24 Ago 2023
Hi
Follow the example here for designing a neural network with multiple outputs. Network parameters such as number of hidden layers, epochs etc depend on the data being trained.
Hope this helps.
Risposte (1)
Rohit Kulkarni
il 28 Ago 2023
Hi,
I understand that you want to train a neural network with multiple inputs and outputs, you can refer to the following documentation:
Also refer to this MATLAB answer.
Thanks
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