DEVELOPMENT OF NEURAL NETWORKS FOR FORECASTING OF CHEMICAL SUBSTANCES’ MIGRATION IN SOIL AND ALGORITHMS OF THEIR TRAINING
A review of the existing models and methods for forecasting chemical substances' migration in soil is contained in the paper. The paper shows that the most effective decision for solving ecological tasks in this field is an application of artificial neural networks using training «with a tutor»...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | Russian |
| Published: |
Belarusian National Technical University
2010-04-01
|
| Series: | Наука и техника |
| Online Access: | https://sat.bntu.by/jour/article/view/541 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|