MATEC Web Conf.
Volume 329, 2020International Conference on Modern Trends in Manufacturing Technologies and Equipment: Mechanical Engineering and Materials Science (ICMTMTE 2020)
|Number of page(s)||6|
|Published online||26 November 2020|
Theory and design of an experimental intelligent plant for regulating plant productivity
Mytischi Branch of Bauman Moscow State Technical University, 141005 1st Institutskaya street, 1, Mytischi, Moscow region, Russia
* Corresponding author: firstname.lastname@example.org
The article proposes to regulate the values of factors affecting the productivity of plants using an artificial intelligence device, the main element of which is a mathematical neuron. The installation is adaptive to the growing area of the investigated plant object. This increases its efficiency and increases the importance of plant productivity. A block diagram of the experimental setup, a general block diagram of the setup control algorithms have been developed, one of the options for using the experimental setup as a research system for identifying the most significant combinations of factors affecting plant productivity has been considered. To identify the most significant combinations of factors, algorithms based on generalized training algorithms for the Hebb neural network model were used, and a study was made of a model of an installation of four inputs with sigmoidal transfer functions.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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