Skip to content
Research Article Open access CC BY 4.0

Prediction of Chemical Production Based on Neural Network

Fei Liang, Taowen Zhang

Asian Journal of Applied Chemistry Research · pp. 51–65 · Published 28 Dec 2021

10.9734/ajacr/2021/v10i3-430241

Abstract

As an important part of artificial intelligence and machine learning, artificial neural network (ANN) has been widely used because of its strong information processing and autonomous learning capabilities. In this paper, the development history of ANN is summarized, and the three common types of ANN are introduced: MLP neural network, BP neural network and recurrent neural network. Finally the practical application of ANN in chemical production forecasting are analyzed and an outlook on its development direction is prospected.

Artificial neural network chemical industry parameter prediction risk warning

Cited by 3

Advances in Neural Networks for Pharmaceutical Applications

Xinyi Yang, Fenxiao Chen · Asian Journal of Advanced Research and Reports · 2024

Application of Artificial Neural Network in Optimal Design of Reactor

Bing-Qiang He, Yue Si · Asian Journal of Research in Computer Science · 2022

Application of Artificial Neural Networks in Chemical Process Control

Haonan Wang, Yijia Chen · Asian Journal of Research in Computer Science · 2022

Article metrics

Real usage data collected on this platform.

7

Page views

0

PDF downloads

0

Outbound clicks

3

Citations

Views over time

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

Traffic sources

Referring site, by host.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.