Optimization of Extraction Process Based on Neural Network
Asian Journal of Chemical Sciences · pp. 19–27 · Published 5 Mar 2022
10.9734/ajocs/2022/v11i219117Abstract
Liquid-liquid extraction is a chemical unit operation that utilizes the difference in solubility or distribution ratio of target components in two immiscible solvents to achieve separation, extraction or purification. There are many factors that affect the extraction efficiency, and it is difficult to quickly optimize the process using traditional methods. Artificial neural network is a system structure composed of multiple artificial neuron models, with functions such as self-learning, associative storage and fault tolerance. It can be used for optimization or control of multi-variable complex systems, and has been successfully applied to the extraction process of various products. optimization. This paper discusses the basic situation of artificial neural network, and analyzes the research progress of extraction process optimization based on neural network.
Cited by 3
Somayeh Kolbadinejad, Ahad Ghaemi · Artificial Neural Networks in Chemical Engineering Processes · 2026
Jing Sun, Jumei Xu, Zuoxiang Zeng · Journal of Chemical Technology & Biotechnology · 2023
Huihui Wang, Wenwen Luan, Li Sun · Chemical Engineering Research and Design · 2022
Related research
- Extraction, Physicochemical and Phytochemical Characterization of Oil from Sesame Seed — shares topic coverage
- Antioxidant Activities and Functional Properties of Complex Polysaccharide (Mucilage) in Vegetable Fern (Diplazium esculentum) — shares topic coverage
- Effect of Extracting Solvents on the Phyto-chemical Properties of Fermented Pawpaw (Carica papaya L.) Seed — shares topic coverage
- Quality Evaluation of Coconut (Cocos nucifera L) Oils Produced by Different Extraction Methods — shares topic coverage
- Preservation of Strawberries Using Guava Leaves Extract — shares topic coverage
Article metrics
Real usage data collected on this platform.
0
Page views
0
PDF downloads
0
Outbound clicks
3
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.