Neural Network Algorithm and Its Application in Supercritical Extraction Process
Asian Journal of Chemical Sciences · pp. 19–28 · Published 13 Jan 2021
10.9734/ajocs/2021/v9i119062Abstract
Artificial neural network （ANN）algorithms can be used for multi-parameter optimization and control by simulating the mechanisms of the human brain. Therefore, ANN is widely used in many fields such as signal processing, intelligent driving, face recognition, and optimization and control of chemical processes. As a green and efficient chemical separation process, supercritical extraction is especially suitable for the separation and purification of active ingredients in natural substances. Because there are many parameters that affect the separation efficiency of the process, the neural network algorithm can be used to quickly optimize the process parameters based on limited experimental data to determine the appropriate process conditions. In this work, the research progress of neural network algorithms and supercritical extraction are reviewed, and the application of neural network algorithms in supercritical extraction is discussed, aiming to provide references for researchers in related fields.
References (19)
- 1 Learning representations by back-propagating errors [DOI]
- 2 Supercritical fluid extraction: Recent advances and applications [DOI]
- 3 Supercritical fluid extraction of bioactive compounds [DOI]
- 4 Supercritical fluid extraction in herbal and natural product studies — a practical review [DOI]
- 5 Output feedback control of nonlinear systems using RBF neural networks [DOI]
- 6 Approximating Number of Hidden layer neurons in Multiple Hidden Layer BPNN Architecture
- 7 Stock market index prediction using artificial neural network [DOI]
- 8 Supercritical fluid extraction [DOI]
- 9 Supercritical fluid extraction of essential oils [DOI]
- 10 Artificial Neural Networks in Medical Diagnosis
- 11 Antioxidative and cytotoxic activity of essential oils and extracts of Satureja montana L., Coriandrum sativum L. and Ocimum basilicum L. obtained by supercritical fluid extraction [DOI]
- 12 An effective misbehavior detection model using artificial neural network for vehicular ad hoc network applications [DOI]
- 13 Nonparallel Emotional Speech Conversion [DOI]
- 14 Supercritical fluid extraction of celery seed oil [DOI]
- 15 Distributed Mean-Field-Type Filters for Traffic Networks [DOI]
- 16 Distributionally Robust Optimization [DOI]
- 17 Distributionally Robust Games [DOI]
- 18 Bregman learning for generative adversarial networks [DOI]
- 19 Supercritical Fluid Extraction of Nutraceuticals and Bioactive Compounds [DOI]
Cited by 11
Mengyu Wang, Zhu Zhu · Asian Journal of Chemical Sciences · 2022
Li Sun, Fei Liang, Wutai Cui · Asian Journal of Research in Computer Science · 2021
Peijun Guo, Zefeng Wu · International Conference on Artificial Intelligence and Soft Computing · 2023
Po Li, Zaoyong Lu · Asian Journal of Research in Computer Science · 2022
Zhiqiang Liu, Wentao Zhou · Asian Journal of Chemical Sciences · 2021
Zhiqiang Liu, Wentao Zhou · arXiv.org · 2021
Jing Sun, Qi Tang · arXiv.org · 2021
Showing 7 of 11 known citations — external sources report more than can currently be individually listed.
Related research
- Application of Artificial Neural Network in Rectification — shares topic coverage
- A Review of Artificial Neural Networks for Chemical Process Optimization and Compound Property Prediction — shares topic coverage
- Review of Neural Network Algorithm and Its Application in Reactive Distillation — shares topic coverage
- Study on the Optimization of Double Parameters of the Air Flow Resistance and the Permeability of Electrospun Nanofiber Nonwovens — shares topic coverage
- Application of Artificial Neural Network in Optimal Design of Reactor — shares topic coverage
Article metrics
Real usage data collected on this platform.
41
Page views
0
PDF downloads
4
Outbound clicks
11
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.