finish all models learned from the course

Today, I tried all models from the course.

Summary:

5 different models are selected in comparison and the ANN model is the best one.

 Pending tasks:
1. Build the Gaussian Mixture model and compare it with other models.
2. Select the best model and test it in another well.

try OLS and PLS model for sonic prediction

Today, I tried OLS and PLS models for sonic prediction.

Summary:

OLS (ordinary least squares) and PLS (partial least squares) models are to linear regression models with different methods for calculating regression errors for weights and biases.

Tomorrow, I will try other models learned from the course and made a final conclusion for comparison.

finish the first paper

Today, I finished the first paper.

Summary:

I sent you by an email.
Now, we have two papers pending for submission.

Tomorrow, I will continue to compare models for predicting sonic logs. I will try to finish them before holiday.

finish improving the paper

Today, I finished improving the first paper.

Summary:

There are remaining two questions:
1. the editor recommends us to make geology presentation with some graphs. But we do not have. Where can we obtain some schematic graphs about the well location, the formation, and the intervals? If not, I may be just able to plot the schematic graph of intervals.
2. the editor said that our title is not very suitable. Maybe we should change it to another one.

Tomorrow, we can discuss it when we have time and finish the paper.

finish statistical description and performance vs. interval comparison

Today, I finished statistical description and performance vs. interval comparison.

Summary:

I obtained all data for the above two tasks.

Next week, I will start to analyse these data and try to finish the papers ASAP.

think about how to make statistical description and analyze performance related to intervals

Today, I tried to think about how to make statistical description and analyze performance related to intervals.

Summary:

Statistical description:
Compare mean, sd/mean, skewness of every input at different intervals. It needs 3 big tables.
I do not know if it is necessary to plot 3 big tables to do statistical description.

Peformance vs. intervals:
Obtain mean accuracy of every input at different intervals, which needs just one table.

Tomorrow, I will try to finish this part.

finish some parts of improving

Today, I finished some parts of improving.

Summary:

I finished writing the geology part.
I finished replotting the figure for flags and rewriting the paragraph for flags.
I deleted the comparison part between R and Matlab everywhere.

Tomorrow, I will continue to improve the paper following what we discussed today.

improve the paper

Today, I improved the paper by adding the geology section in it.

Summary:

I finished the geology section.
I will change the description of flags, delete some parts of ANN, and write a brief letter for you to the editor as the explanation of our improved work.

Tomorrow, I will try to finish all these tasks.

start to improve the first paper

Today, I started to improve the first paper.

Summary:

I am now adding the section about geology in the paper.

Tomorrow, I will continue to improve the paper and try to finish it ASAP.

finish tasks in outline this week

Today, I finished tasks in outline this week.

Summary:

I analyze distributions and skewnesses of all variables.

Next week, I will see if I should do log change and normalization and skewness change of all inputs and outputs when applying data to models.
Although I took this course and R is used in this course, I still found that it is easier to code in matlab, so i decide to develop all codes in matlab as well.