predict blockometry of rocks after blasting

I have a problem, I want to use the neural networks in the prediction of the fragmented block percentage after blasting and I can not really do it, all I see is the prediction of a times series

so I have 5 input parameters and one output which is fragmented block size.

what I understood about the process is that I have trained the network with known inputs and outputs and then enter the parameters that I want to predict but I do not know how to do,

I need a little program if possible.

I need your help please

Answer 1

[Johanna Pingel]

This sort of reminds me of the wine classification example: https://www.mathworks.com/help/deeplearning/examples/wine-classification.html

This example trains a network to classify wines into three categories based on input values.

This might be good enough to get started, and then you can switch the network to a regression network: https://www.mathworks.com/help/deeplearning/ref/regression.html

Answer 2

[karim mounpain]

Good morning, i have again problem, i wrote a program for the prediction of the blocks and it does not seem To work, i joined the data of my problem , i want a small program please