Algorithm suggestion for diverging data (severity/intensity analysis)

AI Discussions
1

I have four datasets for four different accidents; each dataset has the same parameters. Some of the key parameters are changing their values from a “standard value”. The more they change these key parameter values, the more the intensity increases. I want to compare the intensity of four accidents. I don’t understand what algorithm to use. Please suggest any ML, DL, soft computing, or evolutionary algorithm.

I am already working on ANFIS (Adaptive Neuro Fuzzy Inference System), Please suggest more.

2

What is the “machine learning” aspect of your project?

Can your task be done by an application of statistical analysis?

3

It can be done, I don’t know what method to use. Please help.

4

I’m not sure why you need an algorithm at all. Just do a statistical analysis of each data set and compare the results.

5

What statistical analysis you are suggesting. Can you tell me more?

6

Mean and standard deviation would be a good place to start.

That’s all I can contribute to this, unless you can frame it as a machine learning question.

7

Supposing I have a parameter named average temperature, after 5 minutes the temperature is changed to some higher or lower value, though I have data for 300 seconds. But if I do standard deviation, that will be a lot odd (I have to categorize myself like this accident is more intense than that), and I want something automated. It will see the trend of my data and automatically say that it’s a more or less severe accident. If you worked with the fuzzy logic toolbox in Matlab, you can see how it provides results. But fuzzy logic is not very reliable!