All PublicationsSpectroscopySpectroscopy SupplementsApplication NotebookE-Books
All ColumnsAtomic PerspectivesChemometrics in SpectroscopyFocus on QualityIR Spectral Interpretation WorkshopIcons of SpectroscopyLasers and Optics InterfaceMolecular Spectroscopy Workbench
All NewsInterviewsSpectroscopy Sponsored News
All Application NotesAtomic SpectroscopyGeneralMass SpectrometryMolecular Spectroscopy
Conference CoverageConference Listing
Webcasts
ProductsE-BooksEventsPeer ExchangeAnalytically Speaking PodcastSponsored PodcastsSpecTubeSponsored ContentSponsored VideosAsk the ExpertsContent Engagement HubsInteractive Tools
SubscribeDirectory
Analytical Instrumentation
Analytical Method Validation
Analytical Theory
Annual Salary Survey
Atomic Absorption
Atomic Spectroscopy
Biological, Medical, and Clinical Analysis
Biopharmaceuticals Biotechnology and Protein Analysis
Cannabis Analysis
Corporate Profiles
Data Analytics, Statistics, Chemometrics, and Artificial Intelligence
Dietary Supplements Analysis
Energy, Petroleum, and Bio Energy
Environmental Analysis
Far-IR/Terahertz Spectroscopy
Fluorescence
Food and Beverage Analysis
Forensics, Narcotics
GC-MS
Homeland Security
ICP-MS
ICP-OES
Imaging
Infrared (IR) Spectroscopy
LC-MS
LIBS
Lasers and Laser-Source Technologies
Market Profiles
Mass Spectrometry
Molecular Spectroscopy
NMR
Near Infrared (NIR) Spectroscopy
Optics
Peer-reviewed Articles
Pharmaceutical Analysis
Plastics Polymers and Rubber
Portable and Handheld Spectroscopy
Process Control and Analysis
Quality Control/Quality Assurance (QA/QC)
Quality by Design (QbD)
Raman Spectroscopy
Regulatory Standards/GLP/GMP Compliance
Sample Preparation
Spectroscopy Interviews
Surface-enhanced Raman spectroscopy (SERS)
Technology Forum
Trends
Tutorials
UV-vis Spectroscopy
Vendor Tips & Tricks
Web of Science
X-ray Analysis
Spotlight -
  • Precious Metals: Pre-Analytical Workflow Optimization
  • Li-Ion Battery Research
  • Cutting-Edge Atomic Spectroscopy
IS1

  • Applied Clinical Trials

  • BioPharm International

  • Cannabis Science and Technology

  • Chromatography Online

  • Nutritional Outlook

  • Pharmaceutical Commerce

  • Pharmaceutical Executive

  • Pharm Tech

  • Spectroscopy Online

  • Turbo Machinery Magazine

Analytical Instrumentation
Analytical Method Validation
Analytical Theory
Annual Salary Survey
Atomic Absorption
Atomic Spectroscopy
Biological, Medical, and Clinical Analysis
Biopharmaceuticals Biotechnology and Protein Analysis
Cannabis Analysis
Corporate Profiles
Data Analytics, Statistics, Chemometrics, and Artificial Intelligence
Dietary Supplements Analysis
Energy, Petroleum, and Bio Energy
Environmental Analysis
Far-IR/Terahertz Spectroscopy
Fluorescence
Food and Beverage Analysis
Forensics, Narcotics
GC-MS
Homeland Security
ICP-MS
ICP-OES
Imaging
Infrared (IR) Spectroscopy
LC-MS
LIBS
Lasers and Laser-Source Technologies
Market Profiles
Mass Spectrometry
Molecular Spectroscopy
NMR
Near Infrared (NIR) Spectroscopy
Optics
Peer-reviewed Articles
Pharmaceutical Analysis
Plastics Polymers and Rubber
Portable and Handheld Spectroscopy
Process Control and Analysis
Quality Control/Quality Assurance (QA/QC)
Quality by Design (QbD)
Raman Spectroscopy
Regulatory Standards/GLP/GMP Compliance
Sample Preparation
Spectroscopy Interviews
Surface-enhanced Raman spectroscopy (SERS)
Technology Forum
Trends
Tutorials
UV-vis Spectroscopy
Vendor Tips & Tricks
Web of Science
X-ray Analysis
IS1

  • Applied Clinical Trials

  • BioPharm International

  • Cannabis Science and Technology

  • Chromatography Online

  • Nutritional Outlook

  • Pharmaceutical Commerce

  • Pharmaceutical Executive

  • Pharm Tech

  • Spectroscopy Online

  • Turbo Machinery Magazine

    • Webcasts
    • Subscribe
    • Directory
Advertisement

Wenhai Ji

home / authors / wenhai-ji

Articles

A Genetic Algorithm–Optimized Extreme Learning Machine Model for Process Ethylene Analysis Robustness Enhancement

A Genetic Algorithm–Optimized Extreme Learning Machine Model for Process Ethylene Analysis Robustness Enhancement

Wenhai Ji;Kun Ma;Li Zhong;Ying Ma;Guolin Li
January 1st 2021

Tunable diode laser absorption spectroscopy (TDLAS) is combined with an extreme learning machine (ELM) model, tailored by genetic algorithm (GA) parameter searching, to produce a more robust analytical method for trace gas analysis of ethylene.

Latest Updated Articles

C. V. Raman in 1930
Published: March 3rd 2025 | Updated: May 1st 2025
A New Radiation: C.V. Raman and the Dawn of Quantum Spectroscopy, Part I
Refrigerator room. Factory style cold room ice. Generative AI. | Image Credit: © Aiakos - stock.adobe.com.
Published: April 9th 2024 | Updated: May 1st 2025
Measurement of Ammonia Leakage by TDLAS in Mid-Infrared Combined with an EMD-SG Filter Method
Heat Leak Infrared Detection | Image Credit: © Dario Sabljak - stock.adobe.com
Published: September 11th 2024 | Updated: October 10th 2024
In-Service Samples: An Infrared Differential Spectra Issue
William F. Meggers
Published: April 29th 2024 | Updated: May 10th 2024
William F. Meggers: The Dean of American Spectroscopists
Modern laboratory equipment on a clean bench, featuring advanced analytical devices for scientific research and experimentation. Generated by AI. | Image Credit: © K-Signature - stock.adobe.com.
Published: May 7th 2025 | Updated: May 12th 2025
2025 Review of Spectroscopic Instrumentation
Fuel processing control room with a comprehensive digital interface system. Generated with AI. | Image Credit: © Srinard - stock.adobe.com.
Published: May 1st 2025 | Updated: May 12th 2025
An Enhanced Approach to Analytical Instrument and System Qualification
About
Advertise
Author Guidelines
Contact Us
Editorial Advisory Board
Ethics Statement
Do Not Sell My Personal Info
Permissions
Privacy Policy
Subscriptions
Terms and Conditions
Contact Info

2 Commerce Drive
Cranbury, NJ 08512

609-716-7777

© 2025 MJH Life Sciences

All rights reserved.