Abstract

Mathematical models for the homogeneous catalytic reaction between alcohols and dimethyl carbonate were developed using the least-squares method, a perceptron with one hidden layer, and the law of mass action. The structure of a trainable neural network is presented. The relative deviation error between the calculated and experimental values is minimum when the perceptron model with one hidden layer is used.

Details

Title
Construction of the mathematical model of a catalytic reaction by means of a perceptron with one hidden layer
Author
Almakaev, R R 1 ; Koledin, S N 1 

 Ufa State Petroleum Technological University, Pervomayskaya str. 141, Ufa, Bashkortostan, Russia, 450062 
Publication year
2019
Publication date
Nov 2019
Publisher
IOP Publishing
ISSN
17426588
e-ISSN
17426596
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2568450467
Copyright
© 2019. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.