predict blockometry of rocks after blasting
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karim mounpain 2019년 4월 26일
편집: karim mounpain 2019년 5월 12일
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
Johanna Pingel 2019년 4월 29일
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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