Application of Artificial Neural Network in Chemical Separation Process
Asian Journal of Chemical Sciences · pp. 54–67 · Published 21 Jul 2022
10.9734/ajocs/2022/v12i119140Abstract
The chemical separation process is a necessary unit operation to obtain qualified purity products. The design and operation control of the separation device are very important. Due to the numerous parameters that affect the separation efficiency and product purity, it is very difficult to optimize by traditional methods. Artificial neural network (ANN) has strong fault tolerance because of its self-learning, self-organization, self-adaptive and strong nonlinear function approximation ability. ANN can be used to map the complex nonlinear relationship between dependent variables and independent variables, and can be used for the design and control of chemical separation devices. This paper summarizes the characteristics of artificial neural network and several important artificial neural network models, and discusses the application of artificial neural network in different chemical separation processes.
Cited by 1
Arienkhe Endurance Osemudiamhen, Liqiang Ma, Ichuy Ngo · Infrared Physics & Technology · 2025
Related research
- The Effect of Ionizing Radiation on Multi-drug Resistant Pseudomonas aeruginosa Isolated from Aquatic Environments in Egypt — shares topic coverage
- Hospital Effluent Discharges as Dynamic Hotspots for Multidrug-resistant Pathogens: Sources, Selection, Dissemination, Surveillance and Control — shares topic coverage
- Influence of Solar Energy on the Physicochemical Parameters of Effluent Sludge and the Receiving Stream of an Oxidation Pond — shares topic coverage
- Growth and Treatment Performance of Three Macrophytes in a Pilot-Scale Horizontal Subsurface Flow Constructed Wetland for Slaughterhouse Wastewater — shares topic coverage
- Evaluating the Effectiveness of Cassava Wastewater Treatment in a Low Cost Microbial Fuel Cell — shares topic coverage
Article metrics
Real usage data collected on this platform.
0
Page views
0
PDF downloads
0
Outbound clicks
1
Citations
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
No views recorded yet.
Traffic sources
Referring site, by host.
No traffic recorded yet.
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.