Greetings, Sir/Madame
For DOE (Design of Experiments) and RSM (Response Surface Methodology), I'd like to use Python. Please post any relevant experiences, references, or Python codes in this thread.
I'm looking forward to hearing positive news from you.
Warm regards
Amir Heydari
Check the link, which might be helpful
https://pythonhosted.org/pyDOE/rsm.html
And check this GitHub profile which has provided some python packages
Dear Mehmet Selman Gökmen
Thank you
After the publication of "Removal of methylene blue via bioinspired catecholamine/starch superadsorbent and the efficiency prediction by response surface methodology and artificial neural network-particle swarm optimization", I decided to use Python for the same ongoing manuscript.
In the mentioned manuscript, we used Matlab and Design Expert.
So we want to only use Python for the RSM part.
Dear Suparshya Babu Sukhavasi Cheng Shen
Thanks for your valuable suggestions
This website well described the DOE, but has no information about RSM.
You may find this useful: https://towardsdatascience.com/design-your-engineering-experiment-plan-with-a-simple-python-command-35a6ba52fa35
Dear Amir
You may use dexpy from stat ease. inc, here its documentation: https://statease.github.io/dexpy/index.html.
I'm unsure this package is up to date. Hope it can help you much.
visit these links
https://stackoverflow.com/questions/50544709/response-surface-modeling-and-optimization-in-python-analogous-to-rsm-in-r
https://towardsdatascience.com/response-optimization-with-design-of-experiments-and-python-63f9afb3f26f
visit this link
https://towardsdatascience.com/how-to-land-an-internship-in-machine-learning-20bb9b65ad79
Dear Vincent Wong
Adnan Majeed Adriyan AdriyanThanks for your useful comments.
Dear Sir/Madam
Below, I presented my experimental data published in https://www.sciencedirect.com/science/article/abs/pii/S0960852419313148
Let's try to find the obtained quadratic equation using Design-Expert software and compare the results:
Q=+838.49+202.28A+382.17B+416.84C+94.04AB+109.54AC+278.44BC-220.71A²+125.44B²+16.19C²
A B C R
10 6 1500 347.5
10 3 2500 429.3
10 3 500 200.3
10 9 500 316.7
10 9 2500 1350.2
125 3 1500 478.6
125 6 500 483.2
125 6 2500 1250.3
125 6 1500 790.2
125 9 1500 1473.4
240 9 2500 2276.5
240 6 1500 912.2
240 3 500 312.3
240 3 2500 670.2
240 9 500 495.6
Amir Heydari You could also try https://www.desice.io/. There is the possibility for response surface modelling and various other analytical and optimization tools.
- Badges
- Science topic
- Similar topics
- Computer Science and Engineering
- Programming Languages
- Python