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predict blockometry of rocks after blasting

Asked by karim mounpain on 26 Apr 2019
Latest activity Edited by karim mounpain on 12 May 2019
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

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2 Answers

Answer by Johanna Pingel on 29 Apr 2019
 Accepted Answer

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

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Answer by karim mounpain on 12 May 2019
Edited by karim mounpain on 12 May 2019

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

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