predict blockometry of rocks after blasting

3 views (last 30 days)
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

Accepted Answer

Johanna Pingel
Johanna Pingel on 29 Apr 2019
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

More Answers (1)

karim mounpain
karim mounpain on 12 May 2019
Edited: 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

Categories

Find more on Deep Learning with Time Series and Sequence Data in Help Center and File Exchange

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by