In order to make a comparison between experimental results and results obtained by machine learning models or regressions . I'd like to know how is it possible to predict results of (just ONE output ) according to the FOUR inputs illustrated in the attached picture using NEURAL NETWORKS using PYTHON where all data are numbers? and which is the best NEURAL NETWORK MODEL that gives the best prediction in this case ?
Hello Mohamed Mebarkia
You can apply neural networks to such a dataset. Your task is a regression problem.
Consider the following links for more details
https://towardsdatascience.com/deep-neural-networks-for-regression-problems-81321897ca33
https://machinelearningmastery.com/regression-tutorial-keras-deep-learning-library-python/
All the best..
Regards
Dear Mohamed Mebarkia ,
As you are dealing with an apparently simple problem using real numbers,
artificial neural networks (ANN) may help you to achieve good performances (it depends all on your training data size).
You may want to start with a two-layer ANN (input, hidden, output):
- as for the input layer, the number of neurons is related to the number of features (let's say N) you have, leading to N + 1 input neurons (N features + 1 bias term)
- as for the hidden layer/layers, you can start with a single hidden layer, tuning the number of neurons. Then, add another hidden layer, tuning the number of neurons once again
- as for the output layer, in your case it includes only 1 neuron.
I recommend normalizing the data before feeding the network (you may use z-score transform - subtract the mean value and divide by the standard deviation)
I suggest you take a look at this link, as the problem is well stated and explained in the details, including python code.
https://towardsdatascience.com/regression-based-neural-networks-with-tensorflow-v2-0-predicting-average-daily-rates-e20fffa7ac9a
Hi Mohamed Mebarkia,
You can search for Neural Network Regression, as your output are numbers in different range then your task is regression.
there is a good implementation and explanation in this reference:
https://thinkingneuron.com/using-artificial-neural-networks-for-regression-in-python/
(Good Luck)
Dear Mohamed Mebarkia
Regression models can help you.
If you are a beginner, please try
https://machinelearningmastery.com/autoregression-models-time-series-forecasting-python/
Identical options also available with MATLAB, in case you are fluent with it.
Feel free to communicate for further support if the need arises.
regards
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