Add new inputs and results are better

Today, I add several inputs to get better results of ANN model performance.

Summary:

1. there are 11 kind of lithologies in my target depths, so I add one input which includes number from 1 to 11, each represent 1 kind of lithology.
2. now I predict depths which just has one or two peaks, so I add another input which includes number 0 and 1, which represent 1 peak and two peaks.
3. for different combinations of 6 parameters (some of their combinations may have no meaning), there are different physical meanings. I separate them into 5 different categories based on different kinds of reservoir permeability.

The following is the performance of 25 inputs, they are better than 22 and some depths could match better than before. The median value of R increased by about 0.1.

The following is to predict 64 bins directly. The performance of it also becomes better. (I predicted 32 and 16 before and they have similar results.)

Tomorrow, I will try to find more categories which have physical meanings. I find that categories of physical meanings are helpful for improving ANN model performance in my research.