Comparison of two neural network approaches to modeling processes in a chemical reactor

Comparison of two neural network approaches to modeling processes in a chemical reactor

In this paper, we conduct the comparative analysis of two neural network approaches to the problem of constructing approximate neural network solutions of non-linear differential equations. The first approach is connected with building a neural network with one hidden layer by minimizati...

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Bibliographic Details
Main Authors: Shemyakina Tatiana, Tarkhov Dmitriy, Vasilyev Alexander, Velichko Yulia
Format: Article
Language:English
Published: VINCA Institute of Nuclear Sciences 2019-01-01
Series:Thermal Science
Subjects:
non-isothermal chemical reactor
boundary value problem
ode
multilayer solution
neural network modeling
global optimization
artificial neural network
artificial neural network adjustment
Online Access:http://www.doiserbia.nb.rs/img/doi/0354-9836/2019/0354-983619583S .pdf

Internet

http://www.doiserbia.nb.rs/img/doi/0354-9836/2019/0354-983619583S .pdf

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