Share Email Print
cover

Proceedings Paper

Using a neural network for prediction the effect of chemical compounds on plant growth
Author(s): Margarita V. Postnova; Alexander V. Kovalenko; Galina A. Sroslova; Sergey V. Safonov; Yulia A. Zimina
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

The paper studies the ability of neural networks to identify relations between different parameters that makes it possible to express massive data more compactly, providing the data blocks are closely connected to each other. Application of bioinformatics methods allowed to predict a positive effect of different chemical compounds on plants growth which is from 87.5% to 88%.

Paper Details

Date Published: 3 June 2019
PDF: 7 pages
Proc. SPIE 11067, Saratov Fall Meeting 2018: Computations and Data Analysis: from Nanoscale Tools to Brain Functions, 110670O (3 June 2019); doi: 10.1117/12.2523248
Show Author Affiliations
Margarita V. Postnova, Volgograd State Univ. (Russian Federation)
Alexander V. Kovalenko, Volgograd State Univ. (Russian Federation)
Galina A. Sroslova, Volgograd State Univ. (Russian Federation)
Sergey V. Safonov, Volgograd State Univ. (Russian Federation)
Yulia A. Zimina, Volgograd State Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 11067:
Saratov Fall Meeting 2018: Computations and Data Analysis: from Nanoscale Tools to Brain Functions
Dmitry Engelevich Postnov, Editor(s)

© SPIE. Terms of Use
Back to Top
PREMIUM CONTENT
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?
close_icon_gray