Practical application of neural networks in geology
Acquisition of theoretical knowledge in the field of neural networks and machine learning, as well as practical skills in using neural networks in the interpretation of geological and geophysical data
Course description:
As part of this advanced training course, students will study the mathematical foundations of machine learning, general concepts of neural networks, consider in detail the solutions of practical geological problems using neural networks, in particular, aspects such as setting a geological problem for neural networks, the basics of working with the R package, building neural networks.
The course covers the use of different varieties of neural networks, as well as alternative methods of machine learning. Part of this course is devoted to the experience of using neural networks for solving geological problems at Kazan Federal University.
Practical part:
- The basics of working with the R package. Building neural networks, working with a perceptron
- Solution of practical geological problems using neural networks
Category of trainees:
Managers and specialists of Oil and Gas E&P Companies.
Training Language: English or Russian
No reviews yet.
Training is conducted at the Institute of Geology and Petroleum Technologies at the following address: Kremlyovskaya str., 4/5, Kazan, Russia.
We can provide accommodation assistance for non-resident students in order to book KFU campus / hotel rooms.
In addition to the program, there are coffee breaks and excursions in the Museum of History of Kazan University, the Geological Museum named after A.A. Stukenberg and the Kazan Kremlin.