Predicting the output of a machine based on the data in hand
1 次查看(过去 30 天)
显示 更早的评论
Hello everyone,
I'm running some experiments in a lab on a machine and i'm trying to simulate the output based on these experiments and a governing equation that relates the materials used in the machine to the relative humidity in the atmosphere. I'm running the machine at different levels of relative humidity and recording the outputs for each individual material. I repeat the tests and get the output data with 15 trials for three different kinds of materials( 5 for each material, i.e, output for the individual material at five levels of relative humidity). I want to use this data along with the above mentioned governing equation to predict the output for a fourth material at differrent levels of humidity. Is this possible with the deep learning toolbox? Can i have some tips on where to start with this idea? I can look up the documentation and proceed but since i'm totally new to neural networks, it'd be helpful if someone could share some valuable information/tips on where to begin or the add-ons that i require for this.
Cheers!
0 个评论
采纳的回答
Shravan Kumar Vankaramoni
2021-3-26
Hi,
I understand that it is a regression problem. It is possible to implement your scenario using deep learning toolbox. The following docs should help you to start
If you have a specific use case, you can go with NN otherwise you can go with ML regression models using Statistics and Machine Learning toolbox .
0 个评论
更多回答(0 个)
另请参阅
类别
在 Help Center 和 File Exchange 中查找有关 Pattern Recognition and Classification 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!