Interpretation of Electroanalytical Data Using Computerized Pattern Recognition.

Abstract

This article summarizes about a decade of work investigating the application of pattern recognition to the interpretation of electroanalytical data. Earliest work involved detection of unresolved doublet peaks in linear sweep voltammetry. These applications have now evolved to where on-line nearly real-time interpretation is possible to obtain electrode mechanism, kinetics, functional group, structural and activity information for organic compounds from a single voltammetric experiment. (Author)

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1982
Accession Number
ADA121504

Entities

People

  • Lars Kryger
  • S. P. Perone
  • W. A. Byers

Organizations

  • Purdue University

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Analytical Chemistry
  • Artificial Intelligence
  • Chemical Reactions
  • Chemistry
  • Data Compression
  • Databases
  • Detection
  • Electrochemistry
  • Electrodes
  • Identification
  • Machine Learning
  • Materials Science
  • Measurement
  • Organic Compounds
  • Pattern Recognition
  • Recognition

Readers

  • Computer Vision.
  • Electrochemical Surface Science
  • Systems Analysis and Design

Technology Areas

  • AI & ML