FORECASTS AND ASSESS THE FEASIBILITY OF VARIOUS TYPES ENERGY SOURCES IN GREENHOUSES.
Abstract
The dynamics of changes in the cost of alternative energy sources, estimated relevance of predictive models of the cost of natural gas. Application of neural networks to create predyktiv price of natural gas. Your multilayer perceptron as a tool for making predictions about the price of natural gas. Reviewed tomato production cost structure. Analyzed the extent of promising alternative energy sources for greenhouse complex.Downloads
Issue
Section
Статті
License
Relationship between right holders and users shall be governed by the terms of the license Creative Commons Attribution – non-commercial – Distribution On Same Conditions 4.0 international (CC BY-NC-SA 4.0):https://creativecommons.org/licenses/by-nc-sa/4.0/deed.uk
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
