By Topic

Automatic Analytical Modeling of EIS Data by Evolutive Programming Based on Cultural Algorithms

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Arpaia, P. ; Dipt. di Ingegneria, Univ. del Sannio, Benevento ; Clemente, F. ; Zanesco, A.

Efficiency and accuracy problems in state-of-the-art analytical modeling of electrochemical phenomena through impedance spectroscopy are faced by a cultural hybrid evolutionary modeling algorithm (CHEMA). Automatic model definition is improved by an evolutionary program exploiting a solution-search strategy based on a cultural mechanism: information on search advance is transmitted to all potential solutions, rather than only to a small inheriting subset, such as in traditional genetic approach. Experimental results of the proposed approach application to electrochemical impedance spectroscopy for biomedical purposes are presented

Published in:

Instrumentation and Measurement Technology Conference, 2006. IMTC 2006. Proceedings of the IEEE

Date of Conference:

24-27 April 2006